REGISTER
Poster and Demo Session
PROGRAM
Poster and Demo Session
The poster session room will be open from 4:30 PM (local time, KST) on November 11. Authors are kindly requested to visit the room after this time to set up their posters.
| Track | Posterboard ID | Paper Title | Authors |
|---|---|---|---|
| Short Research Paper | 1 | SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation | Minje Park (VUNO Inc., South Korea), Jeonghwa Lim (VUNO Inc., South Korea), Taehyung Yu (VUNO Inc., South Korea) and Sunghoon Joo (VUNO Inc., South Korea) |
| 2 | State & Geopolitical Censorship on Twitter (X): Detection & Impact Analysis of Withheld Content | Yusuf Mücahit Çetinkaya (University of Edinburgh, United Kingdom) and Tuğrulcan Elmas (University of Edinburgh, United Kingdom) | |
| 3 | Advanced News Event Clustering via Topic Enhanced Modeling with Multi-Aspect Contrastive Learning | Hang Yang (Kunming University of Science and Technology, China), Xiaoyan Yu (Beijing Institute of Technology, China) and Dianbo Sui (Harbin Institute of Technology, China) | |
| 4 | Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions | Yang Xiang (Xi'an Jiaotong-Liverpool University, China), Li Fan (Xi'an Jiaotong-Liverpool University, China), Chenke Yin (Xi’an Jiaotong-Liverpool University, China), Menglin Kong (Mcgill University, Canada) and Chengtao Ji (Xi'an Jiaotong Liverpool University, China) | |
| 5 | Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval | Fengyang Mao (Shanghai University, China), Xiaodong Yue (Shanghai University, China), Yufei Chen (Tongji University, China), Jiaqing Ma (Shanghai University, China), Zheran Zhang (Shanghai University, China) and Jie Shi (Shanghai University, China) | |
| 6 | Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models | Emily Jimin Roh (Korea University, South Korea) and Joongheon Kim (Korea University, South Korea) | |
| 7 | FnRGNN: Distribution-aware Fairness in Graph Neural Network | Soyoung Park (Chungnam National University, South Korea) and Sungsu Lim (Chungnam National University, South Korea) | |
| 8 | GLCN: Treatment Effect Estimation via Global-Local Networks with Adversarial Debiasing | Siwei Qiang (Mybank, China) | |
| 9 | ThoughtForest-KGQA: A Multi-Chain Tree Search for Knowledge Graph Reasoning | Xingrun Quan (East China Normal University, China), Yongkang Zhou (East China Normal University, China) and Junjie Yao (East China Normal University, China) | |
| 10 | AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence | Davide Gabrielli (Sapienza University of Rome, Italy), Bardh Prenkaj (Sapienza University of Rome, Italy), Paola Velardi (Sapienza University of Rome, CNR-ISTC, Italy) and Stefano Faralli (Sapienza University of Rome, Italy) | |
| 11 | Improving Content Anomaly Detection on Social Media via Counterfactual Mitigation of Social Event-Induced Bias | Jiaxin Li (Department of Mathematics, Huaihua University, China) and Geng Zhao (Institution of Computational Linguistics, Heidelberg University, Germany) | |
| 12 | In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks | Shangqing Xu (Georgia Institute of Technology, United States), Harshavardhan Kamarthi (Georgia Institute of Technology, United States), Haoxin Liu (Georgia Institute of Technology, United States) and B. Aditya Prakash (Georgia Institute of Technology, United States) | |
| 13 | G2IFS: Global-to-Instance Feature Selection in Deep Recommender System | Lijin Chen (Institute of Automation, Chinese Academy of Sciences, China), Linjing You (Institute of Automation, Chinese Academy of Sciences, China), Jiabao Lu (Institute of Automation, Chinese Academy of Sciences, China), Xiayuan Huang (College of Science, Beijing Forestry University, China) and Xiangli Nie (Institute of Automation, Chinese Academy of Sciences, China) | |
| 14 | Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting | Zhuomin Chen (Sun Yat-sen University, China), Dan Li (Sun Yat-sen University, China), Jiahui Zhou (Sun Yat-sen University, China), Shunyu Wu (Sun Yat-sen University, China), Haozheng Ye (Sun Yat-sen University, China), Jian Lou (Sun Yat-sen University, China) and See-Kiong Ng (National University of Singapore, Singapore) | |
| 15 | A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation | Xiaoyu Liu (Beihang University, China), Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences, China), Ruidong Han (Meituan, China), Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, China), Xiang Li (Meituan, China) and Wei Lin (Meituan, China) | |
| 16 | Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations | Yongkyung Oh (University of California, Los Angeles (UCLA), United States), Seungsu Kam (Ulsan National Institute of Science & Technology (UNIST), South Korea), Dongyoung Lim (Ulsan National Institute of Science & Technology (UNIST), South Korea) and Sungil Kim (Ulsan National Institute of Science & Technology (UNIST), South Korea) | |
| 17 | Dynamic Reserve Price Design with Distributed Solving Algorithm | Mang Li (Alibaba International Digital Commerce Group, China) | |
| 18 | When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering | Eojin Kang (Hankuk University of Foreign Studies, South Korea) and Juae Kim (Hankuk University of Foreign Studies, South Korea) | |
| 19 | Approximating Gradient-Based Influence for Scalable Instruction Data Selection | Mohammad Gharehhasanloo (York University, Canada), Yueting Chen (Seattle University, United States), Nick Koudas (University of Toronto, Canada) and Xiaohui Yu (York University, Canada) | |
| 20 | Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries | Xu Wang (University of Southern California, United States), Rajgopal Kannan (DEVCOM ARL Army Research Office, United States) and Viktor Prasanna (University of Southern California, United States) | |
| 21 | RepMedGAN: Self-supervised Representation-guided Medical GAN for Label-free Medical Image Synthesis | Yuchong Yao (The University of Melbourne, Australia), Kishor Nandakishor (The University of Melbourne, Australia) and Marimuthu Palaniswami (The University of Melbourne, Australia) | |
| 22 | FAIR Data Assessment Using LLMs: The Fair-Way | Anmol Sharma (Lehrstuhl i5, RWTH Aachen University, Aachen, Germany, Germany), Sulayman K. Sowe (Fraunhofer FIT, St. Augustin, Germany, Germany), Soo-Yon Kim (Lehrstuhl i5, RWTH Aachen University, Aachen, Germany, Germany), Sayed Hoseini (Lehrstuhl i5, RWTH Aachen University, Aachen & Hochschule Niederrhein, Krefeld, Germany, Germany), Fidan Limani (ZBW - Leibniz Information Centre for Economics, Kiel, Germany, Germany), Zeyd Boukhers (Fraunhofer FIT, St. Augustin, Germany, Germany), Christoph Lange (Fraunhofer FIT, St. Augustin, Germany & RWTH Aachen University, Aachen, Germany, Germany) and Stefan Decker (Lehrstuhl i5, RWTH Aachen University, Aachen, Germany, Germany) | |
| 23 | On Evaluating Loss Functions for Stock Ranking: An Empirical Analysis with Transformer Model | Jan Kwiatkowski (Institute of Computer Science Warsaw University of Technology, Poland) and Jarosław Chudziak (Institute of Computer Science Warsaw University of Technology, Poland) | |
| 24 | From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media | Tian Ma (School of Computer Science and Technology, Beijing Institute of Technology, China), Kaiyu Feng (Beijing Institute of Technology, China), Yu Rong (The Chinese University of Hong Kong, China) and Kangfei Zhao (Beijing Institute of Technology, China) | |
| 25 | Company-Specific Knowledge Matters: Retrieval-Augmented Generation for Earnings Call Answer Rehearsal | Yung-Yu Shih (National Taiwan University, Taiwan), Yun-Nung Chen (National Taiwan University, Taiwan) and Chung-Chi Chen (AIST, National Institute of Advanced Industrial Science and Technology, Taiwan) | |
| 26 | M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction | Guangyin Jin (National Innovative Institute of Defense Technology, China), Sicong Lai (The Hong Kong University of Science and Technology (Guangzhou), China), Xiaoshuai Hao (Beijing Academy of Artificial Intelligence, China), Jinlei Zhang (Beijing Jiaotong University, China) and Mingdao Zhang (Peking University, China) | |
| 27 | Land Deformation Prediction via Multi-modal Adaptive Association Learning | Wanghui Qiu (East China Normal University, China), Shiyan Hu (East China Normal University, China), Chenjuan Guo (East China Normal University, China), Wenbing Shi (Guizhou University, China), Lina Yu (Guizhou University, China), Ming Gao (East China Normal University, China), Aoying Zhou (East China Normal University, China) and Bin Yang (East China Normal University, China) | |
| 28 | Multi-Item-Query Attention for Stable Sequential Recommendation | Mingshi Xu (The Hong Kong University of Science and Technology, Hong Kong), Haoren Zhu (The Hong Kong University of Science and Technology, Hong Kong) and Wilfred Siu Hung Ng (The Hong Kong University of Science and Technology, Hong Kong) | |
| 29 | Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers | Haoyu Wu (Northwestern University, United States), Qingcheng Zeng (Northwestern University, United States) and Kaize Ding (Northwestern University, United States) | |
| 30 | Mitigating Knowledge Degradation Caused by Knowledge Editing on Identical Subjects through Two-Step Editing | Seonghee Lee (Konkuk University, South Korea), Geon Park (Konkuk University, South Korea), Geunyeong Jeong (Konkuk University, South Korea), Juoh Sun (Konkuk University, South Korea) and Harksoo Kim (Konkuk University, South Korea) | |
| 31 | T-Retrievability: A Topic-Focused Approach to Fair Document Exposure in Information Retrieval | Xuejun Chang (University of Glasgow, United Kingdom), Zaiqiao Meng (University of Glasgow, United Kingdom) and Debasis Ganguly (University of Glasgow, United Kingdom) | |
| 32 | RAG-based Unanswerable Question Detection in Clinical Text-to-SQL | Donghee Han (KAIST, South Korea), Seungjae Lim (KAIST, South Korea) and Mun Yi (Korea Advanced Institute of Science and Technology, South Korea) | |
| 33 | +VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking | Xingyu Deng (University of Sheffield, United Kingdom), Xi Wang (University of Sheffield, United Kingdom) and Mark Stevenson (University of Sheffield, United Kingdom) | |
| 34 | A Pivot-Enhanced Question Answering Framework: Using Iterative Sub-Question Decomposition and Answer-to-Question Verification | Seyeon Park (Yonsei Graduate School of Information, South Korea) and Beakcheol Jang (Yonsei Graduate School of Information, South Korea) | |
| 35 | TwinBandit Prompt Optimizer: Adaptive Prompt Optimization via Synergistic Dual MAB-Guided Feedback | Young-Joon Park (Agilesoda, South Korea), Seong Ryeong Lee (Agilesoda, South Korea), Anh-Dung Vo (Agilesoda, South Korea), Minsung Jung (Agilesoda, South Korea) and Daewoo Choi (Hankuk University of Foreign Studies, South Korea) | |
| 36 | EI-KGC: A Knowledge Graph Completion Model Based on Fine-Grained Element Interactions | Dong Li (Liaoning University, China), Lingling Zhang (Liaoning University, China), Yuhang Fan (Liaoning University, China), Jingyou Sun (Liaoning University, China), Xinyu Zhang (Liaoning University, China) and Baoyan Song (Liaoning University, China) | |
| 37 | Multimodal RAG Enhanced Visual Description | Amit Kumar Jaiswal (Indian Institute of Technology (BHU) Varanasi, India), Haiming Liu (School of Electronics and Computer Science, University of Southampton, United Kingdom) and Ingo Frommholz (University of Wolverhampton, United Kingdom) | |
| 38 | Student-Augmented Self-Training with Closed Loop Feedback in Linguistic Steganalysis | Ziwei Zhang (China Agricultural University, China), Juan Wen (China Agricultural university, China), Wanli Peng (China Agricultural university, China) and Haowei Chang (China Agricultural university, China) | |
| 39 | LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models | Aleksei Shestov (Sber AI Lab, Russia), Omar Zoloev (Sber AI Lab, Russia), Maksim Makarenko (Sber AI Lab, Russia), Mikhail Orlov (HSE, Russia), Egor Fadeev (Sberbank, Russia), Kireev Ivan (Sber AI Lab, Russia) and Andrey Savchenko (Sber AI Lab, Russia) | |
| 40 | Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance | Xuelin Zhang (Huazhong Agricultural University, China), Hong Chen (Huazhong Agricultural University, China) and Lingjuan Wu (Huazhong Agricultural University, China) | |
| 41 | ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate | Heewon Park (Soongsil University, South Korea), Mugon Joe (Soongsil University, South Korea), Miru Kim (Soongsil University, South Korea) and Minhae Kwon (Soongsil University, South Korea) | |
| 42 | Compressed Concatenation of Small Embedding Models | Mohamed Ayoub Ben Ayad (University of Passau, Germany), Michael Granitzer (University of Passau, Germany), Jelena Mitrović (University of Passau, Germany), Kanishka Ghosh Dastidar (University of Passau, Germany) and Michael Dinzinger (University of Passau, Germany) | |
| 43 | Active Recommendation for Email Outreach Dynamics | Čeněk Žid (Czech Technical University, Czechia), Rodrigo Alves (Czech Technical University, Prague, Czechia) and Pavel Kordik (Czech Technical University, Prague, Czechia) | |
| 44 | Asymmetric Diffusion Recommendation Model | Yongchun Zhu (ByteDance, China), Guanyu Jiang (Beijing University of Aeronautics and Astronautics, China), Jingwu Chen (ByteDance, China), Feng Zhang (Bytedance, China), Xiao Yang (Bytedance, China) and Zuotao Liu (Bytedance, China) | |
| 45 | POLAR: Policy Optimization for Literature Analysis under Review Constraints | Giorgio Maria Di Nunzio (University of Padua, Italy) | |
| 46 | Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction | Jiaxing He (National University of Defense Technology, China), Yang Fang (National University of Defense Technology, China), Tianyang Shao (National University of Defense Technology, China) and Xiang Zhao (National University of Defense Technology, China) | |
| 47 | Mixture-of-KAN for Multivariate Time Series Forecasting | Xiao Han (University of Chinese Academy of Sciences, China), Zhenduo Zhang (University of Chinese Academy of Sciences, China), Xinfeng Zhang (University of Chinese Academy of Sciences, China), Yiling Wu (Institute of Perceptual Intelligence, Pengcheng Laboratory, China) and Zhe Wu (Institute of Perceptual Intelligence, Pengcheng Laboratory, China) | |
| 48 | Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation | Van-Khang Nguyen (VNU University of Engineering and Technology, Viet Nam), Duc-Hoang Pham (VNU University of Engineering and Technology, Viet Nam), Huy-Son Nguyen (Delft University of Technology, Netherlands), Cam-Van Thi Nguyen (University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam), Hoang-Quynh Le (VNU University of Engineering and Technology, Viet Nam) and Duc-Trong Le (University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam) | |
| 49 | FASE: Feature-Aligned Scene Encoding for Open-Vocabulary Object Detection in Remote Sensing | Hyeonsu Hwang (Sungkyunkwan University, South Korea) and Simon S. Woo (Sungkyunkwan University, South Korea) | |
| 50 | Do LLMs Dream of Electric Emotions? Quantifying Metacognition and Generalizing the Teacher-Student Model Using Ensembles of LLMs | Ricky Sethi (Fitchburg State University, United States), Hefei Qiu (Fitchburg State University, United States), Charles Courchaine (National University, United States) and Joshua Iacoboni (Fitchburg State University, United States) | |
| 51 | Watch Your Step: A Fine-Grained Evaluation Framework for Multi-hop Knowledge Editing in Large Language Models | Geunyeong Jeong (Konkuk University, South Korea), Juoh Sun (Konkuk University, South Korea) and Harksoo Kim (Konkuk University, South Korea) | |
| 52 | PMTA: Perception-Aware Multi-Task Transformer Network for Personalized Multi-Domain Adaptation | Chenbin Zhang (bytedance, China), Xiaoxie Zhu (bytedance, China), Xingchao Cao (bytedance, China), Qiwei Chen (bytedance, China), Feng Zhang (bytedance, China), Yang Xiao (bytedance, China) and Zuotao Liu (bytedance, China) | |
| 53 | Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective | Dezhi Ye (Tencent, China), Ye Qin (Tencent, China), Bowen Tian (Tencent, China), Jiabin Fan (Tencent, China), Jie Liu (Tencent, China), Haijin Liang (Tencent, China) and Jin Ma (Tencent, China) | |
| 54 | Few-Shot Knowledge Graph Completion via Transfer from Similar Tasks | Lihui Liu (University of Illinois Urbana-Champaign, United States), Zihao Wang (The Hong Kong University of Science and Technology, China), Dawei Zhou (Virginia Tech, United States), Ruijie Wang (University of Illinois Urbana-Champaign, United States), Yuchen Yan (University of Illinois Urbana-Champaign, United States), Bo Xiong (stanford, United States), Sihong He (The University of Texas at Arlington, United States) and Hanghang Tong (University of Illinois Urbana-Champaign, United States) | |
| 55 | NuFact: Validating Numerical Assertions for Knowledge Graphs | Mohammad Taufeeq (IIT Palakkad, India) and Koninika Pal (IIT Palakkad, India) | |
| 56 | When User Engagement Meets Structural Cohesiveness: A Decay-Driven Approach to Hypergraph Cores | Hyewon Kim (UNIST, South Korea), Minseok Kim (UNIST, South Korea), Dahee Kim (UNIST, South Korea) and Junghoon Kim (UNIST, South Korea) | |
| 57 | LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News | Pouya Ghahramanian (Bilkent University, Turkey), Sepehr Bakhshi (Bilkent University, Turkey) and Fazli Can (Bilkent University, Turkey) | |
| 58 | Image Hashing Based on Hamming Ball Spacing | Zhaomeng Ma (University of Science and Technology of China, China), Haoran Chang (University of Science and Technology of China, China), Hailong Shen (University of Science and Technology of China, China) and Yanzhi Song (University of Science and Technology of China, China) | |
| 59 | EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting | Yujin Park (Hanyang university, South Korea), Haejun Chung (Hanyang University, South Korea) and Ikbeom Jang (Hankuk University of Foreign Studies, South Korea) | |
| 60 | Toward Secure Federated Partial Label Learning Against Poisoning Attacks | Xubin Chen (School of Computer Science, The University of Sydney, Australia), Zhengjie Yang (Hong Kong Generative AI Research and Development Center, The Hong Kong University of Science and Technology, Hong Kong), Xinyi Sheng (School of Computer Science, The University of Sydney, Australia), Sen Fu (School of Computer Science, The University of Sydney, Australia) and Wei Bao (School of Computer Science, The University of Sydney, Australia) | |
| 61 | AR^2: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models | Cheng-Kai Yeh (National Chengchi University, Taiwan), Hsing-Wang Lee (National Chengchi University, Taiwan), Chung-Hung Kuo (National Chengchi University, Taiwan) and Hen-Hsen Huang (Institute of Information Science, Academia Sinica, Taiwan) | |
| 62 | PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization | Kepu Zhang (Renmin University of China, China), Teng Shi (Renmin University of China, China), Weijie Yu (University of International Business and Economics, China) and Jun Xu (Renmin University of China, China) | |
| 63 | Controlled Feature Interaction Selection for Deep Sparse Networks | Yuhang Qiu (Huazhong Agricultural University, China), Biqin Song (Huazhong Agricultural University, China) and Hong Chen (Huazhong Agricultural University, China) | |
| 64 | Beyond Masking: Landmark-based Representation Learning and Knowledge-Distillation for Audio-Visual Deepfake Detection | Chan Park (Department of Comptuer Science and Engineering, Sungkyunkwan University, Suwon-Si, South Korea), Muhammad Shahid Muneer (Department of Comptuer Science and Engineering, Sungkyunkwan University, Suwon-Si, South Korea) and Simon S. Woo (Department of Comptuer Science and Engineering, Sungkyunkwan University, Suwon-Si, South Korea) | |
| 65 | Monte Carlo Tree Search for Graph Reasoning in Large Language Model Agents | Lihui Liu (University of Illinois Urbana-Champaign, United States) | |
| 66 | Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval | Yuxiang Liu (University of Illinois at Urbana-Champaign, United States), Tian Wang (Amazon, United States), Gourab Kundu (Amazon, United States), Tianyu Cao (Amazon, United States), Guang Cheng (Amazon, United States), Zhen Ge (Amazon, United States), Jianshu Chen (Amazon, United States), Qingjun Cui (Amazon, United States) and Trishul Chilimbi (Amazon, United States) | |
| 67 | Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response | Wenchuan Mu (Singapore University of Technology and Design, Singapore) and Kwan Hui Lim (Singapore University of Technology and Design, Singapore) | |
| 68 | Structuring Video Semantics with Temporal Triplets for Zero-Shot Video Question Answering | Linlin Zong (Dalian University Of Technology, China), Xinyu Zhai (Dalian University of Technology, China), Xinyue Liu (Dalian University of Technology, China), Wenxin Liang (Dalian University Of Technology, China), Xianchao Zhang (Dalian University Of Technology, China) and Bo Xu (Dalian University Of Technology, China) | |
| 69 | Towards Robust Continual Test-Time Adaptation via Neighbor Filtration | Taki Hasan Rafi (Hanyang University, South Korea), Amit Agarwal (Oracle, United States), Hitesh Laxmichand Patel (Oracle, United States) and Dong-Kyu Chae (Hanyang University, South Korea) | |
| 70 | Anchor-based Pairwise Comparison via Large Language Model for Recommendation Reranking | Qin Luo (Huazhong University of Science and Technology, China), Erjia Chen (Huazhong University of Science and Technology, China), Zhao Shi (Huazhong University of Science and Technology, China) and Bang Wang (Huazhong University of Science and Technology, China) | |
| 71 | Membership Inference Attack Vulnerabilities of Record Linkage Models | Piyumi Seneviratne (Macquarie University, Australia), Dinusha Vatsalan (Macquarie University, Australia) and Dali Kaafar (Macquarie University, Australia) | |
| 72 | Position-Agnostic Probabilistic Generation for Robust Steganographic Text | Shuo Lin (Yunnan University, China), Zhenyang Shen (Yunnan University, China), Xiang Li (Yunnan University, China), Jiacheng Fan (Yunnan University, China) and Sixing Wu (Yunnan University, China) | |
| 73 | An entity alignment method based on knowledge distillation with noisy supervision | Yuhong Zhang (Hefei University of Technology, China), Hangchi Song (Hefei University of Technology, China), Xiaolong Zhu (Hefei University of Technology, China), Chenyang Bu (Hefei University of Technology, China) and Kui Yu (Hefei University of Technology, China) | |
| 74 | cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending | Anirudh Satheesh (University of Maryland - College Park, United States), Keenan Powell (University of Maryland - College Park, United States) and Hua Wei (Arizona State University, United States) | |
| 75 | Can Large Vision-Language Models Understand Sarcasm? | Xinyu Wang (Shandong University, China), Liqiang Jing (The University of Texas at Dallas, United States) and Yue Zhang (The University of Texas at Dallas, United States) | |
| 76 | Robust Handwritten Text Recognition via Multi-Source Adversarial Domain Adaptation for Low-Resource Scripts | Bustami Yusuf (SNHCC-TIGP Program, Institute of Information Science, Academia Sinica, National Tsing Hua University, Indonesia) and Hen-Hsen Huang (Institute of Information Science, Academia Sinica, Taiwan) | |
| 77 | Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework | Moyu Zhang (Lazada Group, China), Yujun Jin (Lazada Group, China), Jinxin Hu (Lazada Group, China) and Yu Zhang (Lazada Group, China) | |
| 78 | Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle | Tongxin Xu (Guilin University of Electronic Technology, China), Chenzhong Bin (Guilin University of ElectronicTechnology, China), Cihan Xiao (Center for Language and Speech Processing, Johns Hopkins University, United States), Yunhui Li (Guilin University of Electronic Technology, China, China) and Tianlong Gu (Jinan University, Guangzhou, China) | |
| 79 | Imputing Multi-Agent Trajectories from Event and Snapshot Data in Soccer | Geonhee Jo (University of Seoul, South Korea), Miru Hong (University of Seoul, South Korea), Han-Jun Choi (Korea Electronics Technology Institute, South Korea), Minho Lee (Saarland University, South Korea), Pascal Bauer (Saarland University, Germany) and Sang-Ki Ko (University of Seoul, South Korea) | |
| 80 | Spectral Shielding: Amplitude-Adaptive Frequency Correction Against Transferable Adversarial Attacks | Xinlei Liu (Information Engineering University, China), Tao Hu (Information Engineering University, China), Peng Yi (Information Engineering University, China), Rongkui Zhou (Information Engineering University, China), Hailong Ma (Information Engineering University, China) and Yiming Jiang (Information Engineering University, China) | |
| 81 | Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization | Xinlei Liu (Information Engineering University, China), Tao Hu (Information Engineering University, China), Peng Yi (Information Engineering University, China), Weitao Han (Information Engineering University, China), Jichao Xie (Information Engineering University, China) and Baolin Li (Information Engineering University, China) | |
| 82 | Data-Driven ECOC: Automated Codebook Learning for Enhanced Adversarial Resilience | Che-Yu Chou (National Central University, Taiwan) and Hung-Hsuan Chen (National Central University, Taiwan) | |
| 83 | Zero-shot Stroke Lesion Segmentation via CAM-guided Prompting of MedSAM2 | Mohammadjavad Shokri (University of Melbourne, Australia), Yuchong Yao (University of Melbourne, Australia), Nandakishor Nandakishor (University of Melbourne, Australia), Aravinda Rao (The University of Melbourne, Australia), Angelos Sharobeam (Royal Melbourne Hospital, Australia), Bernard Yan (Royal Melbourne Hospital, Australia) and Marimuthu Palaniswami (The University of Melbourne, Australia) | |
| 84 | Social Relation Meets Recommendation: Augmentation and Alignment | Lin Wang (The Hong Kong Polytechnic University, Hong Kong), Weisong Wang (Baidu Inc., China), Xuanji Xiao (Shopee Inc., China) and Qing Li (The Hong Kong Polytechnic University, Hong Kong) | |
| 85 | CR-SGCN:Robust Unsupervised Community Detection in Signed Networks via Conductance-Regularized Signed GCN | Jeongseon Kim (Chungnam National University, South Korea) and Sungsu Lim (Chungnam National University, South Korea) | |
| 86 | Rethinking Masked Image Modeling for Ultrasound Image Denoising | Yuchong Yao (The University of Melbourne, Australia), Kishor Nandakishor (The University of Melbourne, Australia) and Marimuthu Palaniswami (The University of Melbourne, Australia) | |
| 87 | USE-LTV: Customer LifeTime Value Prediction via Uncertain Sequence Modeling in Baidu Ads | Lei Yang (Baidu Inc., Renmin University of China, China), Jiahui Zhang (Baidu Inc., China), Guoyu Liu (Baidu Inc., China), Houzhi Wang (Baidu Inc., China), Zhiyuan Zhou (Rutgers University, United States) and Xiaohui Zhao (Baidu Inc., China) | |
| 88 | RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention | San Kim (Department of Computer Science and Engineering, Sungkyunkwan University, South Korea), Seungjun Lee (Department of Immersive Media Engineering/Social Innovation Convergence Program, Sungkyunkwan University, South Korea), Sichan Oh (Department of of Electrical and Computer Engineering, Sungkyunkwan University, South Korea) and Jaekwang Kim (School of Convergence / Convergence Program for Social Innovation, Sungkyunkwan University, South Korea) | |
| 89 | Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems | Xinye Wanyan (RMIT, Australia), Danula Hettiachchi (RMIT, Australia), Chenglong Ma (RMIT, Australia), Ziqi Xu (RMIT, Australia) and Jeffrey Chan (RMIT, Australia) | |
| 90 | Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss | Ao Yang (ShangHai University, China), Xiaodong Yue (Artificial Intelligence Institute of Shanghai University, Shanghai, China) and Yufei Chen (School of Computer Science and Technology, Tongji Univerisity, China) | |
| 91 | H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems | Huangyu Dai (Kuaishou Technology, China), Lingtao Mao (Kuaishou Technology, China), Ben Chen (Kuaishou Technology, China), Zihan Wang (Kuaishou Technology, China), Zihan Liang (Kuaishou Technology, China), Ying Han (Zhejiang Gongshang Universit, China), Chenyi Lei (Kuaishou Technology, China) and Han Li (Kuaishou Technology, China) | |
| 92 | CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins | Hou-Wan Long (The Chinese University of Hong Kong, Hong Kong), Hongyang Li (Fudan University, China) and Wei Cai (University of Washington, United States) | |
| 93 | Adversarially Attacking Graph Properties and Sparsification in Graph Learning | Chunjiang Zhu (University of North Carolina at Greensboro, United States), Blake Gaines (University of Connecticut, United States), Jing Deng (University of North Carolina at Greensboro, United States) and Jinbo Bi (University of Connecticut, United States) | |
| 94 | Multimodal Contrastive Learning with Early Fusion for Robust Medical Signal Representation | Lei Chen (Department of Public Health and AI, National Cancer Center Graduate School of Cancer Science and Policy, South Korea), Kyoungsuk Park (Department of Public Health and AI, National Cancer Center Graduate School of Cancer Science and Policy, South Korea) and Junetae Kim (Department of Public Health and AI, National Cancer Center Graduate School of Cancer Science and Policy, South Korea) | |
| 95 | Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models | Chujie Gao (University of Notre Dame, United States), Yue Huang (University of Notre Dame, United States), Xiangqi Wang (University of Notre Dame, United Kingdom), Siyuan Wu (The Chinese University of Hong Kong, Hong Kong), Nitesh Chawla (University of Notre Dame, United States) and Xiangliang Zhang (University of Notre Dame, United States) | |
| 96 | Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy | Wenping Tong (East China Normal University, China), Yi Zhou (East China Normal University, China), Yanhao Wang (East China Normal University, China), Cen Chen (East China Normal University, China) and Minghao Zhao (East China Normal University, China) | |
| 97 | CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors | Sri Durga Sai Sowmya Kadali (University of California, Riverside, United States) and Evangelos Papalexakis (University of California, Riverside, United States) | |
| 98 | Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep | Qingcheng Zeng (Northwestern university, United States), Mingyu Jin (Rutgers University, United States), Qinkai Yu (Exeter University, United Kingdom), Zhenting Wang (Rutgers University, United States), Wenyue Hua (University of California, Santa Barbara, United States), Guangyan Sun (Rochester University, United States), Yanda Meng (Exeter University, United States), Shiqing Ma (University of Massachusetts Amherst, United States), Qifan Wang (Meta AI, United States), Felix Juefei-Xu (Meta AI, United States), Fan Yang (Wake Forest University, United States), Kaize Ding (Northwestern University, United States), Ruixiang Tang (Rutgers University, United States) and Yongfeng Zhang (Rutgers University, United States) | |
| 99 | DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing | Francesco Luigi De Faveri (University of Padua, Italy), Guglielmo Faggioli (University of Padua, Italy) and Nicola Ferro (University of Padua, Italy) | |
| 100 | Side Information Memory Network: Expanding the Breadth of User Behavior Sequences in Recommendation | Zhoufan Kong (Unaffiliated, China), Fan Zhang (Meituan, China), Qijie Shen (Alibaba, China) and Junyan Qiu (Meituan, China) | |
| 101 | Frozen in the Middle: Hidden States Remain Unchanged Across Intermediate Layers of Language Models | Pavel Tikhonov (AIRI, Russia) and Dmitry Ilvovsky (HSE, Russia) | |
| 102 | Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector | Dae-Young Park (KAIST, South Korea), In-Young Ko (School of Computing, Korea Advanced Institute of Science and Technology, South Korea), Taek-Ho Lee (Industrial and Information Systems Engineering, Seoul National University of Science and Technology, South Korea) and Junghye Lee (Technology Management, Seoul National University, South Korea) | |
| 103 | Jailbreaking LLMs Through Cross-Cultural Prompts | Damin Kim (Department of Education, Sungkyunkwan University, South Korea), Minseok Hur (Department of Immersive Media Engineering/Convergence Program for Social Innovation, Sungkyunkwan University, South Korea), Jeongin Lee (Department of Forensics, Sungkyunkwan University, South Korea) and Moohong Min (Department of Computer Education/Convergence Program for Social Innovation, Sungkyunkwan University, South Korea) | |
| 104 | SAKG: Structure-Aware Large Language Model Framework for Knowledge Graph Reasoning | Qingyu Zhang (Hefei University of Technology, China), Min Hu (Hefei University of Technology, China), Wenlong Fei (Hefei University of Technology, China), Jiaoyun Yang (Hefei University of Technology, China) and Hongbo Li (Hefei University of Technology, China) | |
| 105 | Improving Rare and Common ICD Coding via a Multi-Agent LLM-Based Approach | Rumeng Li (University of Massachusetts Amherst, United States), Xun Wang (Microsoft, United States) and Hong Yu (University of Massachusetts, Lowell, United States) | |
| 106 | Upcycling Candidate Tokens of Large Language Models for Query Expansion | Jinseok Kim (Seoul National University, South Korea), Sukmin Cho (KAIST, South Korea), Soyeong Jeong (KAIST, South Korea), Sangyeop Kim (Seoul National University, South Korea) and Sungzoon Cho (Seoul National University, South Korea) | |
| 107 | kNNBE: Incorporating Labeled Sentences in Bi-encoder Inference for Fast and Accurate Skill Mapping | Takuya Makino (Recruit Co., Ltd., Japan) | |
| 108 | Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs | Haoyi Xiu (National Institute of Advanced Industrial Science and Technology (AIST), Japan), Xin Liu (National Institute of Advanced Industrial Science and Technology (AIST), Japan), Taehoon Kim (National Institute of Advanced Industrial Science and Technology (AIST), Japan) and Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology (AIST), Japan) | |
| 109 | ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling | Huishi Luo (Beihang University, China), Fuzhen Zhuang (Beihang University, China), Ruobing Xie (Tencent, China), Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences, China), Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences, China), Bo Kang (Beihang University, China), Feng Xia (WeChat, Tencent, China), Deqing Wang (Beihang University, China) and Jin Dong (Beijing Academy of Blockchain and Edge Computing (BABEC), China) | |
| 110 | Jailbreaking LLMs via Misalignment on Out-of-Distribution Inputs | Yue Huang (University of Notre Dame, United States), Jingyu Tang (University of Notre Dame, United States), Dongping Chen (University of Maryland, United States), Bingda Tang (Tsinghua University, China), Yao Wan (Huazhong University of Science and Technology, China), Lichao Sun (Lehigh University, United States), Philip S. Yu (University of Illinois Chicago, United States) and Xiangliang Zhang (University of Notre Dame, United States) | |
| 111 | Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations | Sarwan Ali (Georgia State University, United States) | |
| 112 | Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation | Chenya Huang (University of Technology Sydney, Australia), Bin Liang (University of Technology Sydney, Australia), Zhidong Li (University of Technology Sydney, Australia), Justin Wang (The Property Investors Alliance, Australia) and Fang Chen (University of Technology Sydney, Australia) | |
| 113 | Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks | Yunyong Ko (Chung-Ang University, South Korea), Da Eun Lee (Hanyang University, South Korea), Songkyung Yu (hanyang university, South Korea) and Sang-Wook Kim (Hanyang University, South Korea) | |
| 114 | GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation | Yu Wang (Zhengzhou University, China), Yixuan Zhao (School of Computer and Artificial Intelligence, Beijing Technology and Business University, China), Renrui Duan (School of Computer and Artificial Intelligence, Beijing Technology and Business University, China), Jingyuan Li (School of Computer and Artificial Intelligence, Beijing Technology and Business University, China), Yuanzhuo Wang (CAS Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, China) and Kun Zhang (WeChat AI, Tencent Inc., Beijing, China, China) | |
| 115 | DocPolicyKG: A Lightweight LLM-Based Framework for Knowledge Graph Construction from Chinese Policy Documents | Chen Han (School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences,, China), Yuanyuan Li (School of Economics and Management, University of Chinese Academy of Sciences, China) and Xijin Tang (State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China) | |
| 116 | Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies | Yanan Niu (EPFL, Switzerland), Demetri Psaltis (EPFL, Switzerland), Christophe Moser (EPFL, Switzerland) and Luisa Lambertini (EPFL, Universita’ della Svizzera Italiana (USI), Switzerland) | |
| 117 | Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance? | Seungjun Lee (Dept. of Immersive Media Engineering/Social Innovation Convergence Program, Sungkyunkwan University, South Korea), San Kim (Dept. of Computer Science and Engineering, Sungkyunkwan University, South Korea), Johyeon Kim (Dept. of Applied Artificial Intelligence, Sungkyunkwan University, South Korea) and Jaekwang Kim (Dept. of Applied Artificial Intelligence/Social Innovation Convergence Program, Sungkyunkwan University, South Korea) | |
| 118 | Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity | Ge Chen (University of Chinese Academy of Sciences, China), Yulan Hu (RENMIN UNIVERSITY of CHINA, China), Sheng Ouyang (Renmin University of China, China) and Cuicui Luo (International College, University of Chinese Academy of Sciences, China) | |
| 119 | Bias Analysis in Synthetic Test Collection Construction | Hossein A. Rahmani (University College London, United Kingdom), Varsha Ramineni (University College London, United Kingdom), Emine Yilmaz (University College London, United Kingdom), Nick Craswell (Microsoft, United States) and Bhaskar Mitra (Microsoft, Canada) | |
| 120 | Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation | Jinfeng Xu (The University of Hong Kong, Hong Kong), Zheyu Chen (The Hong Kong Polytechnic University, Hong Kong), Jinze Li (The University of Hong Kong, Hong Kong), Shuo Yang (The Univerisity of Hong Kong, Hong Kong), Wei Wang (Shenzhen MSU-BIT University, China), Xiping Hu (Beijing Institute of Technology, China) and Edith Ngai (The University of Hong Kong, Hong Kong) | |
| 121 | On Influence Tail Bounds in Online Social Networks | Michael Simpson (University of Victoria, Canada), Laks V.S. Lakshmanan (University of British Columbia, Canada), Venkatesh Srinivasan (Santa Clara University, Canada) and Alex Thomo (University of Victoria, Canada) | |
| 122 | A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models | Yu Tokutake (The University of Electro-Communications, Japan), Kazushi Okamoto (The University of Electro-Communications, Japan), Kei Harada (The University of Electro-Communications, Japan), Atsushi Shibata (Advanced Institute of Industrial Technology, Japan) and Koki Karube (The University of Electro-Communications, Japan) | |
| 123 | Relation-Sensitive Visual Aggregation Enhances Multimodal Knowledge Graph Completion | Qingyu Zhang (Hefei University of Technology, China), Min Hu (Hefei University of Technology, China), Wenlong Fei (Hefei University of Technology, China), Jiaoyun Yang (Hefei University of Technology, China) and Hongbo Li (Hefei University of Technology, China) | |
| 124 | Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems | Ping Liu (LinkedIn, United States), Jianqiang Shen (LinkedIn, United States), Qianqi Shen (Linkedin, United States), Chunnan Yao (LinkedIn, United States), Kevin Kao (LinkedIn, United States), Dan Xu (LinkedIn, United States), Rajat Arora (LinkedIn, United States), Baofen Zheng (LinkedIn, United States), Caleb Johnson (LinkedIn, United States), Liangjie Hong (LinkedIn, United States), Jingwei Wu (LinkedIn, United States) and Wenjing Zhang (LinkedIn, United States) | |
| 125 | LLMCE: Adapting LLMs with Adversarial Debiasing for Counterfactual Estimation over Time | Siwei Qiang (Mybank, China) | |
| 126 | MU-OT: Effective and Unified Machine Unlearning with Optimal Transport for Feature Realignment | Sangjun Chung (SUNGKYUNKWAN UNIVERSITY, South Korea) and Simon S. Woo (SUNGKYUNKWAN UNIVERSITY, South Korea) | |
| 127 | Evaluating Differentially Private Generation of Domain-Specific Text | Yidan Sun (Imperial Global Singapore, Singapore), Viktor Schlegel (Imperial Global Singapore, Singapore), Srinivasan Kolumam Nandakumar (Imperial Global Singapore, Singapore), Iqra Zahid (Imperial Global Singapore, Singapore), Yuping Wu (University of Manchester, United Kingdom), Warren Del-Pinto (University of Manchester, United Kingdom), Goran Nenadic (University of Manchester, United Kingdom), Lam Siew Kei (Nanyang Technological University, Singapore), Jie Zhang (A*STAR, Singapore) and Anil Bharath (Imperial Global Singapore, Imperial College London, Singapore) | |
| 128 | Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor | Seung Kyu Hong (Seoul Tech, South Korea) and Hyuk-Yoon Kwon (Seoul National University of Science and Technology, South Korea) | |
| 129 | Assessing Natural Language Explanations of Relational Graph Neural Networks | Stefan Heindorf (Paderborn University, Germany) and Daniel Neib (Paderborn University, Germany) | |
| 130 | Multi-Task Learning through Hierarchical Information Sharing and Transfer | Yufan Mao (Zhejiang University, China), Jingran Xu (Antgroup, China), Liang Zhang (Antgroup, China), Xiyue Hou (Antgroup, China), Yongbo Jin (Antgroup, China), Yingming Li (Zhejiang University, China) and Linjian Mo (Antgroup, China) | |
| 131 | Effect of Model Merging in Domain-Specific Ad-hoc Retrieval | Taiga Sasaki (University of Hyogo, Japan), Takehiro Yamamoto (University of Hyogo, Japan), Hiroaki Ohshima (Graduate School of Information Science, University of Hyogo, Japan) and Sumio Fujita (LY Corporation, Japan) | |
| 132 | XDNet: Disentangled Time Series Forecasting via Exponential Decomposition and 2D Periodic Modeling | Kening Huang (Heilongjiang University, China), Qianqian Ren (Heilongjiang University, China) and Xingfeng Lv (Heilongjiang University, China) | |
| 133 | LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance | Mohammad Hossein Saliminabi (Toronto Metropolita University, Canada), Negar Arabzadeh (UC Berkeley, United States), Seyed Mohammad Hosseini (Toronto Metropolita University, Canada), Dimitrios Androutsos (Toronto Metropolita University, Canada), Morteza Zihayat (Toronto Metropolitan University, Canada) and Ebrahim Bagheri (University of Toronto, Canada) | |
| 134 | Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference | Le Pan (University of New South Wales, Australia), Yuanjiang Cao (University of Macquarie, Australia), Chengkai Huang (University of New South Wales, Australia), Wenjie Zhang (University of New South Wales, Australia) and Lina Yao (CSIRO’s Data61, Australia) | |
| 135 | Token-Fusion: A Sparse Expert Routing Method for Multi-task Data Matching | Fangnuo Liu (School of Computer Science and Engineering, Northeastern University, China) and Derong Shen (School of Computer Science and Engineering, Northeastern University, China) | |
| 136 | HCLeK: Hierarchical Compression of Legal Knowledge for Retrieval-Augmented Generation | Jianhui Yang (Tsinghua University, China), Huanghai Liu (Tsinghua University, China), Mingruo Yuan (The University of Hong Kong, China), Yiran Hu (Tsinghua University, China), Yun Liu (Tsinghua University, China), Weixing Shen (Tsinghua University, China) and Ben Kao (The University of Hong Kong, China) | |
| 137 | Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models | Indu Solomon (International Institute of Information Technology Bangalore, India), Aye Phyu Phyu Aung (Institute for Infocomm Research (I²R), A*STAR, Singapore, Singapore), Uttam Kumar (International Institute of Information Technology Bangalore, India) and Senthilnath Jayavelu (Agency for Science, Technology and Research (A*STAR), Singapore) | |
| 138 | From Bicliques to Bi-Flexi Cliques: A New Era of Bipartite Subgraph Discovery | Taejoon Han (UNIST, South Korea), Song Kim (UNIST, South Korea), Woungjae Choo (UNIST, South Korea) and Junghoon Kim (UNIST, South Korea) | |
| 139 | Empirical Analysis on User Profile in Personalized LLMs | Bin Wu (University College London, United Kingdom), Zhengxiang Shi (University College London, United Kingdom), Hossein A. Rahmani (University College London, United Kingdom), Varsha Ramineni (University College London, United Kingdom) and Emine Yilmaz (University College London, United Kingdom) | |
| 140 | Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks | Havva Alizadeh Noughabi (University of Guelph, Canada), Julien Serbanescu (University of Guelph, Canada), Fattane Zarrinkalam (University of Guelph, Canada) and Ali Dehghantanha (University of Guelph, Canada) | |
| 141 | Structuring Data Science Automation: A Competency-Aware Taxonomy Approach | Maike Holtkemper (University of Hagen, Germany), Max Pernklau (University of Hagen, Germany) and Christian Beecks (University of Hagen, Germany) | |
| 142 | Green by Design: Detecting Environmental Claims in Corporate Web Content | Diya Saha (Tata Consultancy Services, India), Manjira Sinha (TCS Reserch, India) and Tirthankar Dasgupta (Tata Consultancy Services, India) | |
| 143 | Ultra Fast Warm Start Solution for Graph Recommendations | Viacheslav Yusupov (HSE University, Russia), Maxim Rakhuba (HSE University, Russia) and Evgeny Frolov (AIRI, HSE University, Russia) | |
| 144 | Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation | Yuyan Bu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Qiang Sheng (Institute of Computing Technology, Chinese Academy of Sciences, China), Juan Cao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Shaofei Wang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Peng Qi (National University of Singapore, Singapore), Yuhui Shi (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China) and Beizhe Hu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China) | |
| 145 | Open-Source LLM-based Relevance Assessment vs. Highly Reliable Manual Relevance Assessment: A Case Study | Tetsuya Sakai (Waseda University/Naver Corporation, Japan), Khant Myoe Rain (Waseda University, Japan), Rikiya Takehi (Waseda University, Japan), Sijie Tao (Waseda University, Japan) and Young-In Song (Naver Corporation, South Korea) | |
| 146 | Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization | Yubin Hong (Beijing University of Posts and Telecommunications, China), Chaofan Li (Beijing University of Posts and Telecommunications, China), Jingyi Zhang (Beijing University of Posts and Telecommunications, China) and Yingxia Shao (Beijing University of Posts and Telecommunications, China) | |
| 147 | An Efficient PIM-Based Graph Engine on a Single Machine | Myung-Hwan Jang (Hanyang University, South Korea), Min-Kyeong Shin (Hanyang University, South Korea), Taehyeong Park (Yonsei University, South Korea), Yongjun Park (Yonsei University, South Korea) and Sang-Wook Kim (Hanyang University, South Korea) | |
| 148 | Latent Graph Structure Learning for Large-Scale Traffic Forecasting | Meng Wang (Wuhan University, China), Longgang Xiang (Wuhan University, China), Chenhao Wu (Fujian Expressway Science & Technology Innovation Research Institute Co., Ltd.; Fuzhou University, China), Zejiao Wang (Wuhan University, China), Xin Chen (Wuhan University, China), Shaozu Xie (Wuhan University, China) and Ying Luo (Wuhan University, China) | |
| 149 | Random-Feature Graph Neural Networks with Representation Tokenized Transformer for Robust One-class Anomaly Detection | Wen-Wei Tang (National Cheng Kung University, Taiwan) and Cheng-Te Li (National Cheng Kung University, Taiwan) | |
| 150 | Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs | Preethi Gurumurthy (Indian Institute of Technology, Hyderabad, India) and P.K. Srijith (Indian Institute of Technology, Hyderabad, India) | |
| 151 | Leveraging Large Language Models for Complementary Product Ads Recommendation | Byung Eun Jeon (Snap Inc., United States), Ryan Bae (Snap Inc., United States) and Xiao Bai (Snap Inc., United States) | |
| 152 | LLM-based Interactive Coding Education via Predictive Query Management and Student-Centered Fine-Tuning: Design and Implementation with 1500-Student Class Data | Geonjae Youn (Korea University, South Korea), Jonghoon Lee (Korea University, South Korea), Joongheon Kim (Korea University, South Korea) and Chuck Yoo (Korea University, South Korea) | |
| 153 | HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers | Payel Santra (Indian Association for the Cultivation of Science, Kolkata, India), Madhusudan Ghosh (Indian Association for the Cultivation of Science, India), Debasis Ganguly (University of Glasgow, United Kingdom), Partha Basuchowdhuri (Indian Association for the Cultivation of Science, India) and Sudip Kumar Naskar (Dept. of Computer Science & Engineering, Jadavpur University, India, India) | |
| 154 | MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation | Youran Zhou (School of Information Technology, Faculty of Science, Engineering, and Built Environment, Deakin University, Australia), Mohamed Reda Bouadjenek (Deakin University, Australia) and Sunil Aryal (Deakin University, Australia) | |
| 155 | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness | Sirui Chen (Zhejiang University, China), Changxin Tian (Ant Group, China), Binbin Hu (Ant Group, China), Kunlong Chen (Ant Group, China), Ziqi Liu (Ant Group, China), Zhiqiang Zhang (Ant Group, China) and Jun Zhou (Ant Group, China) | |
| 156 | CPSRank: Unsupervised Keyphrase Extraction via Contextual Perturbation | Hyunwook Yu (Chung-Ang University, School of Computer Science and Engineering, South Korea), Minju Kim (Chung-Ang University, School of Computer Science and Engineering, South Korea), Eui Jin Kim (Chung-ang University, South Korea) and Mucheol Kim (Chung-Ang University, School of Computer Science and Engineering, South Korea) | |
| 157 | Pruning Strategies for Backdoor Defense in LLMs | Santosh Chapagain (Utah State University, United States), Shah Muhammad Hamdi (Utah State University, United States) and Soukaina Filali Boubrahimi (Utah State University, United States) | |
| 158 | The Metadata Impedance Mismatch between Databases and Programming Languages | Vishal Sharma (University of Nevada, Las Vegas, United States) and Curtis Dyreson (Utah State University, United States) | |
| 159 | FUTURE: Flexible Unlearning for Tree Ensemble | Ziheng Chen (Walmart Global Tech, United States), Jin Huang (Stony Brook University, United States), Jiali Cheng (University of Massachusetts Lowell, United States), Yuchan Guo (Apple, United States), Mengjie Wang (Independent Researcher, United States), Lalitesh Morishetti (Walmart Global Tech, United States), Kaushiki Nag (Walmart Global Tech, United States) and Hadi Amiri (University of Massachusetts Lowell, United States) | |
| 160 | Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning | Youngjoon Lee (KAIST, South Korea), Jinu Gong (Hansung University, South Korea) and Joonhyuk Kang (KAIST, South Korea) | |
| 161 | Filtered One-Shot Training for Quantum Architecture Search | Seok Bin Son (Korea University, South Korea), Samuel Yen-Chi Chen (Wells Fargo, United States), Joongheon Kim (Korea University, South Korea) and Soohyun Park (Sookmyung Women's University, South Korea) | |
| 162 | FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning | Indranil Ojha (Indian Statistical Institute, India), Kushal Bose (Indian Statistical Institute, India) and Swagatam Das (Indian Statistical Institute, India) | |
| 163 | LLM-Enhanced Linear Autoencoders for Recommendation | Jaewan Moon (Sungkwunkwan University, South Korea), Seongmin Park (Sungkwunkwan University, South Korea) and Jongwuk Lee (Sungkwunkwan University, South Korea) | |
| 164 | Sarcasm Subtype-Specific Reasoning in Dialogue with Multimodal Cues Using Large Language Models | Choongwon Kang (SungKyunKwan University, South Korea), Wonbyung Lee (SungKyunKwan University, South Korea), Seunghyun Hwang (SungKyunKwan University, South Korea), Sunho Tae (SungKyunKwan University, South Korea), Seungjong Sun (SungKyunKwan University, South Korea) and Jang Hyun Kim (SungKyunKwan University, South Korea) | |
| 165 | DAGP: Difficulty-Aware Graph Pruning for LLM-Based Multi-Agent System | Siqi Wang (University of Delaware, United States) and Guangmo Tong (University of Delaware, United States) | |
| 166 | Non-autoregressive Generative Auction with Global Externalities for Online Advertising | Zuowu Zheng (Meituan, China), Ze Wang (Meituan, China), Fan Yang (Meituan, China), Wenqing Ye (Meituan, China), Weihua Huang (Meituan, China), Wenqiang He (Meituan, China), Teng Zhang (Meituan, China) and Xingxing Wang (Meituan, China) | |
| 167 | Time-Period-Aware Embedding Regeneration for Session-Based Recommendation | Cheng Guo (Arizona State University, United States), Rui Xue (University of Chinese Academy of Sciences, China) and Jeff Zhang (Arizona State University, United States) | |
| 168 | Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems | Xinyu He (University of Illinois, Urbana-Champaign, United States), Jose Sepulveda (Amazon, Inc., United States), Fei Wang (Amazon, United States) and Hanghang Tong (University of Illinois at Urbana-Champaign, United States) | |
| 169 | MOVER: Multimodal Optimal Transport with Volume-based Embedding Regularization | Haochen You (Columbia University, United States) and Baojing Liu (Hebei Institute of Communications, China) | |
| 170 | Joint Sparse-Dense Optimization for Learned Sparse Text-Image Retrieval | Jonghyun Song (Graduate School of Data Science, Seoul National University, South Korea), Youngjune Lee (NAVER Corporation, South Korea), Gyu-Hwung Cho (NAVER Corporation, South Korea), Ilhyeon Song (NAVER Corporation, South Korea), Saehun Kim (NAVER Corporation, South Korea) and Yohan Jo (Graduate School of Data Science, Seoul National University, South Korea) | |
| 171 | Study on LLMs for Promptagator-Style Dense Retriever Training | Daniel Gwon (MIT Lincoln Laboratory, United States), Nour Jedidi (MIT Lincoln Laboratory, United States) and Jimmy Lin (University of Waterloo, Canada) | |
| 172 | GraFS: An Integrated GNN-LLM Approach \\ for Inferring Best Functional Substitute Products | Favour Nerrise (Stanford University, United States), Edward Huang (Amazon, United States), Xiaonan Ji (Amazon, United States), Karthik Subbian (Amazon, United States) and Danai Koutra (University of Michigan, Ann Arbor, United States) | |
| 173 | Channel-Independent Refiner for Multivariate Time Series Forecasting | Jie Wang (Fujitsu Research and Development Center, China), Zhongguang Zheng (Fujitsu Research and Development Center, China), Chaoliang Zhong (Fujitsu Research and Development Center, China) and Jun Sun (Fujitsu Research and Development Center, China) | |
| 174 | VQA-Induct: Instruction Induction for Visual Question Answering | Po-Chun Chen (National Taiwan University, Taiwan), Hen-Hsen Huang (Institute of Information Science, Taiwan) and Hsin-Hsi Chen (National Taiwan University, Taiwan) | |
| 175 | Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten | Wei Qian (Iowa State University, United States), Chenxu Zhao (Iowa State University, United States), Yangyi Li (Iowa State University, United States), Wenqian Ye (University of Virginia, United States) and Mengdi Huai (Iowa State University, United States) | |
| 176 | Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs | Taehyung Noh (Department of Artificial Intelligence, Hanyang University, South Korea), Seungwan Jin (Hanyang University, South Korea), Haein Yeo (Department of Artificial Intelligence, Hanyang University, South Korea) and Kyungsik Han (Hanyang University, South Korea) | |
| 177 | LHMformer:Long-Range Historical Memory-Enhanced Transformer for Traffic Forecasting | Guoping Qi (Northeastern University, China) and Jihong Liu (Northeastern University, China) | |
| 178 | CondFairGen A Fair Conditional Generator for Tabular Data via Adaptive Sampling | David Sanchez Jr. (The University of Texas at El Paso, United States) and Anantaa Kotal (The University of Texas at El Paso, United States) | |
| 179 | Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval | Jungmin Yun (Chung-Ang University, South Korea) and Youngbin Kim (Chung-Ang University, South Korea) | |
| 180 | Quantifying Occupational Stereotypes in Large Language Models Through Open-Ended Prompts | Evan Chen (National Central University, Taiwan), Run-Jun Zhan (National Central University, Taiwan), Yan-Bai Lin (National Central University, Taiwan) and Hung-Hsuan Chen (National Central University, Taiwan) | |
| 181 | Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning | Yifei Xu (National University of Singapore, Singapore), Jiaying Wu (National University of Singapore, Singapore), Herun Wan (Xi'an Jiaotong University, China), Yang Li (Institute of Medical Information, Chinese Academy of Medical Sciences, China), Zhen Hou (Institute of Medical Information, Chinese Academy of Medical Sciences, China) and Min-Yen Kan (National University of Singapore, Singapore) | |
| 182 | Towards Equitable Coreset Selection: Addressing Challenges Under Class Imbalance | Liyana Sahir Kallooriyakath (Mastercard, India), Anugu Namratha Reddy (Mastercard, India), B Srinath Achary (Mastercard, India), Ashutosh Sharma (Mastercard, India), Krisha Shah (Mastercard, India), Sonia Gupta (Mastercard, India) and Siddhartha Asthana (Mastercard, India) | |
| 183 | Dual Context-Aware Negative Sampling Strategy for Graph-based Collaborative Filtering | Xi Wu (Yanshan University, China), Wenzhe Zhang (Yanshan University, China), Liangwei Yang (University of Illinois Chicago, United States), Xiaohan Fang (yanshan university, China), Jiquan Peng (yanshan university, China) and Jibing Gong (Yanshan University, China) | |
| 184 | Bridging the Gap between Knowledge Graphs and LLMs for Multi-hop Question Answering | Shijie Luo (Tongji University, China), Xinyuan Lu (Tongji University, China), Qinpei Zhao (Tongji University, China) and Weixiong Rao (Tongji University, China) | |
| 185 | KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits | Hou-Wan Long (The Chinese University of Hong Kong, Hong Kong), Yicheng Song (University of Minnesota, United States), Zidong Wang (DS Digital Technology, China) and Tianshu Sun (Cheung Kong Graduate School of Business, China) | |
| Resource Paper | 186 | C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation | Xu Zhang (Wangxuan Institute of Computer Technology, Peking University, China), Zhifei Liu (Beihang University, China), Jiahao Wang (Huawei, China), Huixuan Zhang (Wangxuan Institute of Computer Technology, Peking University, China), Fan Xu (Wangxuan Institute of Computer Technology, Peking University, China), Junzhe Zhang (Wangxuan Institute of Computer Technology, Peking University, China) and Xiaojun Wan (Wangxuan Institute of Computer Technology, Peking University, China) |
| 187 | Pet-Bench: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services | Hongcheng Guo (Beihang University, China), Zheyong Xie (Xiaohongshu Inc., China), Shaosheng Cao (Xiaohongshu Inc., China), Boyang Wang (Beihang University, China), Weiting Liu (Fudan University, China), Zheyu Ye (Xiaohongshu Inc., China), Zhoujun Li (Beihang University, China), Zuozhu Liu (Zhejiang University, China) and Wei Lu (Singapore University of Technology and Design, Singapore) | |
| 188 | CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking | Ahmet Kapkic (Arizona State University, United States), Pratanu Mandal (Arizona State University, United States), Abhinav Gorantla (Arizona State University, United States), Shu Wan (Arizona State University, United States), Ertugrul Coban (Arizona State University, United States), Paras Sheth (Arizona State University, United States), Huan Liu (Arizona State University, United States) and K. Selcuk Candan (Arizona State University, United States) | |
| 189 | A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM | Shaokui Gu (Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, China), Yongjie Yin (Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, China), Qingyuan Gong (Research Institute of Intelligent Complex Systems, Fudan University, China), Fenghua Tong (Shandong Computer Science Center,Qilu University of Technology;Shandong Fundamental Research Center for Computer Science, China), Yipeng Zhou (School of Computing, Macquarie University, Australia), Qiang Duan (Department of Information Technology, Pennsylvania State University Abington College, United States) and Yang Chen (Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, China) | |
| 190 | PyLate: Flexible Training and Retrieval for Late Interaction Models | Antoine Chaffin (LightOn, France) and Raphaël Sourty (LightOn, France) | |
| 191 | From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings | Xiao Li (University College Dublin, Ireland), Changhong Jin (University College Dublin, Ireland) and Ruihai Dong (University College Dublin, Ireland) | |
| 192 | ReDSM5: A Reddit Dataset for DSM-5 Depression Detection | Eliseo Bao (IRLab, CITIC, Universidade da Coruña, Spain), Anxo Pérez (IRLab, CITIC, Universidade da Coruña, Spain) and Javier Parapar (IRLab, CITIC, Universidade da Coruña, Spain) | |
| 193 | PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset | Carmelo Gugliotta (DIMES, University of Calabria, Italy), Lucio La Cava (DIMES, University of Calabria, Italy) and Andrea Tagarelli (DIMES, University of Calabria, Italy) | |
| 194 | Semantic IDs in Generative Recommendation: A Practitioner's Handbook | Clark Mingxuan Ju (Snap Inc., United States), Liam Collins (Snap Inc., United States), Leonardo Neves (Snap Inc., United States), Bhuvesh Kumar (Snap Inc., United States), Louis Yufeng Wang (Snap Inc., United States), Tong Zhao (Snap Inc., United States) and Neil Shah (Snap Inc., United States) | |
| 195 | ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph | Langming Liu (Taobao & Tmall Group of Alibaba, China), Haibin Chen (Taobao & Tmall Group of Alibaba, China), Yuhao Wang (City University of Hong Kong, Hong Kong), Yujin Yuan (Taobao & Tmall Group of Alibaba, China), Shilei Liu (Taobao & Tmall Group of Alibaba, China), Wenbo Su (Taobao & Tmall Group of Alibaba, China), Xiangyu Zhao (City University of Hong Kong, Hong Kong) and Bo Zheng (Taobao & Tmall Group of Alibaba, China) | |
| 196 | S2Cap: A Benchmark and a Baseline for Singing Style Captioning | Hyunjong Ok (POSTECH, South Korea) and Jaeho Lee (POSTECH, South Korea) | |
| 197 | The Yelp Collaborative Knowledge Graph | Theis Jendal (Aalborg University, Denmark), Mads Corfixen (Aalborg University, Denmark), Magnus Olesen (Targit, Denmark), Peter Dolog (Aalborg University, Denmark), Katja Hose (TU Wien, Austria), Daniele Dell'Aglio (Aalborg University, Denmark) and Matteo Lissandrini (Aalborg University, Denmark) | |
| 198 | StoryWriter: A Multi-Agent Framework for Long Story Generation | Haotian Xia (Tsinghua University, China), Hao Peng (Tsinghua University, China), Yunjia Qi (Tsinghua University, China), Bin Xu (Tsinghua University, China), Juanzi Li (Tsinghua University, China), Hou Lei (Tsinghua University, China) and Xiaozhi Wang (Tsinghua University, China) | |
| 199 | TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening | Xi Wang (University of Sheffield, United Kingdom), Anxo Pérez (University of A Coruña, Spain), Javier Parapar (University of A Coruña, Spain) and Fabio Crestani (Università della Svizzera Italiana (USI), Switzerland) | |
| 200 | E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases | Candida M. Greco (DIMES, University of Calabria, Italy), Lorenzo Zangari (DIMES, University of Calabria, Italy), Davide Picca (University of Lausanne, Switzerland) and Andrea Tagarelli (DIMES, University of Calabria, Italy) | |
| 201 | IARD: Intruder Activity Recognition Dataset for Threat Detection | Shehzad Ali (Department of Applied AI, Sungkyunkwan University, Seoul, South Korea), Md Tanvir Islam (Department of Data Science, Sungkyunkwan University, Suwon, South Korea), Ik Hyun Lee (Department of Mechatronics Engineering, Tech University and IKLAB Inc., Seoul, South Korea), Saeed Anwar (University of Western Australia (UWA), Australia, Australia), Javier Del Ser (TECNALIA, Spain; University of the Basque Country, Bizkaia, Spain, Spain) and Khan Muhammad (Department of Applied AI, Sungkyunkwan University, Seoul, South Korea) | |
| 202 | PyG-SSL: A Graph Self-Supervised Learning Toolkit | Lecheng Zheng (University of Illinois at Urbana-Champaign, United States), Baoyu Jing (University of Illinois at Urbana-Champaign, United States), Zihao Li (University of Illinois at Urbana-Champaign, United States), Zhichen Zeng (University of Illinois at Urbana-Champaign, United States), Tianxin Wei (University of Illinois at Urbana-Champaign, United States), Mengting Ai (University of Illinois at Urbana-Champaign, United States), Xinrui He (University of Illinois at Urbana-Champaign, United States), Lihui Liu (University of Illinois at Urbana-Champaign, United States), Dongqi Fu (Meta, United States), Jiaxuan You (University of Illinois at Urbana-Champaign, United States), Hanghang Tong (University of Illinois at Urbana-Champaign, United States) and Jingrui He (University of Illinois at Urbana-Champaign, United States) | |
| 203 | VideoAVE: A Multi-Attribute Video-to-Text Attribute Value Extraction Dataset and Benchmark Models | Ming Cheng (Virginia Tech, United States), Tong Wu (Virginia Tech, United States), Jiazhen Hu (Virginia Tech, United States), Jiaying Gong (Virginia Tech, United States) and Hoda Eldardiry (Virginia Tech, United States) | |
| 204 | TSD-CT: A Benchmark Dataset for Truthfulness Stance Detection | Zhengyuan Zhu (University of Texas at Arlington, United States), Haiqi Zhang (University of Texas at Arlington, United States), Zeyu Zhang (University of Texas at Arlington, United States) and Chengkai Li (University of Texas at Arlington, United States) | |
| 205 | QueryBridge: One Million Annotated Questions with SPARQL Queries - Dataset for Question Answering over Knowledge Graph | Abdelghny Orogat (Carleton University, Canada) and Ahmed El-Roby (Carleton University, Canada) | |
| 206 | RuSemCor: a Word Sense Disambiguation corpus for Russian | Alexander Kirillovich (ex. HSE University, Russia), Ilia Karpov (HSE, Russia), Natalia Loukachevitch (Research Computing Center of Moscow State University, Russia), Maxim Kulaev (National Research University Higher School of Economics, Russia) and Dmitry Ilvovsky (National Research University Higher School of Economics, Russia) | |
| 207 | NLP-QA: A Large-scale Benchmark for Informative Question Answering over Natural Language Processing Documents | Avishek Lahiri (Indian Association for the Cultivation of Science, India), Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, India) and Dr Imon Mukherjee (Indian Institute of Information Technology Kalyani, India) | |
| 208 | Datasets for Supervised Adversarial Attacks on Neural Rankers | Amir Khosrojerdi (Queen's University, Canada), Amin Bigdeli (University of Waterloo, Canada), Radin Hamidi Rad (University of Toronto, Canada), Morteza Zihayat (Toronto Metropolitan University, Canada), Charles L. A. Clarke (University of Waterloo, Canada) and Ebrahim Bagheri (University of Toronto, Canada) | |
| 209 | ERASURE: a Modular and Extensible Framework for Machine Unlearning | Andrea D'Angelo (University of L'Aquila, Italy), Claudio Savelli (Politecnico di Torino, Italy), Gabriele Tagliente (University of L'Aquila, Italy), Flavio Giobergia (Politecnico di Torino, Italy), Elena Baralis (Politecnico di Torino, Italy) and Giovanni Stilo (University of L'Aquila, Italy) | |
| 210 | Maneno Yetu: Dynamic Corpus Construction and Pretraining for Swahili NLP | Chaddy Zawuya (University of Dar es Salaam, Tanzania), Alfred Kondoro (Hanyang University, South Korea), Diana Rwegasira (University of Dar es Salaam, Tanzania) and Juma Lundo (University of Dar es Salaam, Tanzania) | |
| 211 | YTCommentVerse: A Multi-Category Multi-Lingual YouTube Comment Corpus | Hridoy Sankar Dutta (Deakin University, India) and Biswadeep Khan (Stanford University, United States) | |
| 212 | EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning | Md Tasnim Jawad (Florida International University, United States) and Yanzhao Wu (Florida International University, United States) | |
| 213 | A Comprehensive Toolkit for Generalized Robust Vision | Zhao Li (Zhejiang Lab, China), Yuefeng Chen (Alibaba Group, China), Hui Xue (Alibaba Group, China) and Xiaofeng Mao (Ant Group, China) | |
| 214 | SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset | Răzvan-Alexandru Smădu (National University of Science and Technology POLITEHNICA Bucharest, Romania), Andreea Iuga (National University of Science and Technology POLITEHNICA Bucharest, Romania), Dumitru-Clementin Cercel (National University of Science and Technology POLITEHNICA Bucharest, Romania) and Florin Pop (Politehnica Bucharest, Romania / ICI Bucharest, Romania, Romania) | |
| 215 | Portuguese post-OCR Resources for Text Optimisation | Tomas Osorio (University of Porto, Portugal) and Henrique Lopes Cardoso (University of Porto, Portugal) | |
| 216 | FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon | Min Gao (Fudan University, China), Haoran Du (Fudan University, China), Wen Wen (Fudan University, China), Qiang Duan (Pennsylvania State University, United States), Xin Wang (Fudan University, China) and Yang Chen (Fudan University, China) | |
| 217 | Multimodal Banking Dataset: Understanding Client Needs through Event Sequences | Dzhambulat Mollaev (Sber AI Lab, Russia), Ivan Kireev (Sber AI Lab, Russia), Mikhail Orlov (Sber AI Lab, Russia), Alexander Kostin (Sber AI Lab, Russia), Ivan Karpukhin (Sber AI Lab, Russia), Maria Postnova (Sber, Russia), Gleb Gusev (Sber AI Lab, Russia) and Andrey Savchenko (Sber AI Lab, Russia) | |
| 218 | CSMD: Curated Multimodal Dataset for Chinese Stock Analysis | Yu Liu (East China Normal University, China), Zhuoying Li (East China Normal University, China), Ruifeng Yang (East China Normal University, China), Fengran Mo (University of Montreal, Canada) and Cen Chen (East China Normal University, China) | |
| 219 | Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting | Chen Shao (Karlsruhe Institute of Technology, Germany), Michael Faerber (Technical University of Dresden, Germany), Sebastian Pütz (Karlsruhe Institute of Technology, Germany), Benjamin Schäfer (Karlsruhe Institute of Technology, Germany), Yue Wang (Karlsruhe Institute of Technology, Germany), Tobias Käfer (Karlsruhe Institute of Technology, Germany), Zhanbo Huang (RWTH Aachen University, Germany) and Zhenyi Zhu (The Hong Kong University of Science and Technology, Hong Kong) | |
| 220 | HUSK: A Hierarchically Structured Urban Knowledge Graph Dataset for Multi-Level Spatial Tasks | Qiqi Wang (Nankai University, China), Guanjin Wang (The University of Auckland, New Zealand), Yihong Pan (The University of Auckland, New Zealand), Zhipeng Lin (The University of Auckland, New Zealand), Huijia Li (Nankai University, China), Qian Liu (The University of Auckland, New Zealand) and Kaiqi Zhao (Harbin Institute of Technology (Shenzhen), China) | |
| 221 | RapidDamageNarratives++: An Ontology-Aligned Corpus of Commonsense-Tagged Early Damage Reports for Spatio-Temporal Infrastructure Recovery Prioritisation | Xinjie Zhao (The University of Tokyo, Japan), Jiacheng Tang (The University of Tokyo, Japan), So Morikawa (The University of Tokyo, Japan) and Yoshihide Sekimoto (The University of Tokyo, Japan) | |
| 222 | UXSim: Towards a Hybrid User Search Simulation | Saber Zerhoudi (Universität Passau, Germany) and Michael Granitzer (University of Passau, Germany) | |
| 223 | hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs | Ludovico Boratto (University of Cagliari, Italy), Gianni Fenu (University of Cagliari, Italy), Mirko Marras (University of Cagliari, Italy), Giacomo Medda (University of Cagliari, Italy) and Alessandro Soccol (University of Cagliari, Italy) | |
| 224 | A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text | Alicia Sagae (Amazon AWS AI/ML, United States), Chia-Jung Lee (Amazon AWS AI/ML, United States), Sandeep Avula (Amazon AWS AI/ML, United States), Brandon Dang (Amazon AWS AI/ML, United States) and Vanessa Murdock (Amazon AWS AI/ML, United States) | |
| 225 | FinS-Pilot: A Benchmark for Online Financial RAG System | Feng Wang (Renmin University of China, China), Yiding Sun (Renmin University of China, China), Jiaxin Mao (Renmin University of China, China), Xue Wei (zhice pilot inc., China) and Danqing Xu (Beijing ZhicePilot Company, China) | |
| 226 | MIRAGE: A Metrics lIbrary for Rating hAllucinations in Generated tExt | Benjamin Vendeville (Université Bretagne Occidentale, France), Liana Ermakova (HCTI, Université de Bretagne Occidentale, France), Pierre De Loor (National Engineer School of Brest, France) and Jaap Kamps (University of Amsterdam, Netherlands) | |
| 227 | STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions | Amirhossein Ghaffari (Center for Ubiquitous Computing, University of Oulu, Oulu, Finland, Finland), Huong Nguyen (Center for Ubiquitous Computing, University of Oulu, Oulu, Finland, Finland), Lauri Lovén (Center for Ubiquitous Computing, University of Oulu, Oulu, Finland, Finland) and Ekaterina Gilman (Center for Ubiquitous Computing, University of Oulu, Oulu, Finland, Finland) | |
| 228 | SparseKmeans: Efficient K-means Clustering For Sparse Data | Khôi Nguyễn Phạm Đăng (MBZUAI, United Arab Emirates), He Zhe Lin (MBZUAI, United Arab Emirates) and Chih Jen Lin (MBZUAI; National Taiwan University, United Arab Emirates) | |
| 229 | ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Dongqi Fu (University of Illinois Urbana-Champaign, United States), Yada Zhu (IBM, United States), Zhining Liu (University of Illinois Urbana-Champaign, United States), Lecheng Zheng (University of Illinois Urbana-Champaign, United States), Xiao Lin (University of Illinois Urbana-Champaign, United States), Zihao Li (University of Illinois Urbana-Champaign, United States), Liri Fang (University of Illinois Urbana-Champaign, United States), Katherine Tieu (University of Illinois Urbana-Champaign, United States), Onkar Bhardwaj (IBM, United States), Kommy Weldemariam (IBM, United States), Hanghang Tong (University of Illinois Urbana-Champaign, United States), Hendrik Hamann (IBM, United States) and Jingrui He (University of Illinois Urbana-Champaign, United States) | |
| 230 | When Facts Expire: Benchmarking Temporal Validity in Knowledge Graphs | Thibaut Soulard (LISN, France), Fatiha Saïs (Université Paris-Saclay, France) and Joe Raad (University of Paris-Saclay, France) | |
| 231 | Internet of Things Dataset for Human Operator Activity Recognition in Industrial Environment | Abdur Rahim Mohammad Forkan (Swinburne University, Australia), Prem Prakash Jayaraman (Swinburne University of Technology, Australia), Clarence Antonmeryl (Swinburne University of Technology, Australia), Federico Montori (Department of Computer Science and Engineering, University of Bologna, Italy, Italy), Abhik Banerjee (Department of Computing Technologies, Swinburne University of Technology, Australia), Kaneez Fizza (Department of Computing Technologies, Swinburne University of Technology, Australia) and Dimitrios Georgakopoulos (Department of Computing Technologies, Swinburne University of Technology, Australia) | |
| 232 | Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework | Brodie Oldfield (CSIRO, Australia), Ziqi Xu (RMIT, Australia) and Sevvandi Kandanaarachchi (CSIRO, Australia) | |
| 233 | A Large-Scale Web Search Dataset for Federated Online Learning to Rank | Marcel Gregoriadis (Delft University of Technology, Netherlands), Jingwei Kang (University of Amsterdam, Netherlands) and Johan Pouwelse (Delft University of Technology, Netherlands) | |
| 234 | Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark | Zhenhui Ou (Arizona State University, United States), Dawei Li (Arizona State University, United States), Zhen Tan (Arizona State University, United States), Wenlin Li (Arizona State University, United States), Huan Liu (Arizona State University, United States) and Siyuan Song (Arizona State University, United States) | |
| 235 | PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature | Maciej Rybinski (Universidad de Málaga, Spain), Necva Bölücü (CSIRO, Australia), Huichen Yang (CSIRO, Australia) and Stephen Wan (CSIRO, Australia) | |
| 236 | GCondenser: Benchmarking Graph Condensation | Yilun Liu (The University of Queensland, Australia), Ruihong Qiu (The University of Queensland, Australia) and Zi Huang (The University of Queensland, Australia) | |
| 237 | A Large-Scale Dataset for Content-Based Short-Video Recommendation | Yongxin Ni (Westlake University, China), Yu Cheng (Westlake University, China), Xiangyan Liu (Westlake University, China), Junchen Fu (Westlake University, China), Youhua Li (Westlake University, China), Xiangnan He (University of Science and Technology of China, China), Yongfeng Zhang (Rutgers University, United States) and Fajie Yuan (Westlake University, China) | |
| Demo Paper | 238 | The ReQAP System for Question Answering over Personal Information | Philipp Christmann (Max Planck Institute for Informatics, Saarland Informatics Campus, Germany) and Gerhard Weikum (Max Planck Institute for Informatics, Saarland Informatics Campus, Germany) |
| 239 | Quantum Deepflow: A Quantum-Integrated Forecasting Platform for Strategic Decisions in Raw Material Procurement | Charmgil Hong (Handong Global University, South Korea), Doohee Chung (Impactive AI, South Korea), Jongyeong Kim (Impactive AI, South Korea) and Heewon Jung (Impactive AI, South Korea) | |
| 240 | AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots | Xinjie Zhao (The University of Tokyo, Japan), Moritz Blum (University of Bielefeld, Germany), Fan Gao (University of Tokyo, Japan), Yingjian Chen (The University of Tokyo, Japan), Boming Yang (The University of Tokyo, Japan), Luis Marquez-Carpintero (University of Alicante, Spain), Mónica Pina-Navarro (University of Alicante, Spain), Yanran Fu (The University of Tokyo, Japan), So Morikawa (The University of Tokyo, Japan), Yusuke Iwasawa (The University of Tokyo, Japan), Yutaka Matsuo (The University of Tokyo, Japan), Chanjun Park (Korea University, Korea, The Democratic People's Republic of) and Irene Li (The University of Tokyo, Japan) | |
| 241 | L3X: Long Object List Extraction from Long Documents | Sneha Singhania (Max Planck Institute for Informatics, Germany), Simon Razniewski (ScaDS.AI & TU Dresden, Germany) and Gerhard Weikum (Max Planck Institute for Informatics, Germany) | |
| 242 | PlaceSim: An LLM-based Interactive Platform for Human Behavior Simulation in Physical Facilities | Suhyeon Lee (KAIST, College of Business, South Korea), Youngjun Yu (KAIST, College of Business, South Korea), Donghyuk Shin (KAIST, College of Business, South Korea) and Rita Singh (Carnegie Mellon University, South Korea) | |
| 243 | Med-SEBAnswers: Synthesizing Evidence-Based Answers to Medical Questions | Juraj Vladika (Technical University of Munich, Germany) and Florian Matthes (Technical University of Munich, Germany) | |
| 244 | OntoLDiff: A Highly Efficient System for Tracking Logical Difference in Large-Scale Ontologies | Yizheng Zhao (Nanjing University, China) and Renate A. Schmidt (The University of Manchester, United Kingdom) | |
| 245 | terazi: AI Fairness Tool for Doubly Imbalanced Data | Asli Umay Ozturk (Middle East Technical University (METU), Turkey), Yigit Sever (Middle East Technical University (METU), Turkey), Ata Yalcin (Middle East Technical University (METU), Turkey), Viktoria Pauw (Leibniz Supercomputing Centre (LRZ), Germany), Stephan Hachinger (Leibniz Supercomputing Centre (LRZ), Germany), Ismail Hakki Toroslu (Middle East Technical University (METU), Turkey) and Pinar Karagoz (Middle East Technical University (METU), Turkey) | |
| 246 | ClimBurst: a Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space | Guillaume Coulaud (University of Montpellier, Inria, CNRS, LIRMM, France), Benoit Lange (Inria, University of Montpellier, CNRS, LIRMM, France), Dennis Shasha (Courant Institute of Mathematical Sciences, New York University, United States), Audrey Brouillet (ESPACE-DEV, Université Montpellier, IRD, Université Guyane, Université Réunion, Université Antilles, France), Reza Akbarinia (Inria, University of Montpellier, CNRS, LIRMM, France) and Florent Masseglia (Inria, University of Montpellier, CNRS, LIRMM, France) | |
| 247 | KnowFE : A Hybrid AI System for Explainable Feature Engineering using Knowledge-Guided Reinforcement Learning | Mohamed Bouadi (Université Paris Cité, LIPADE, France), Arta Alavi (SAP France, France), Salima Benbernou (Université Paris Cité, LIPADE, France) and Mourad Ouziri (Université Paris Cité, LIPADE, France) | |
| 248 | VoiceVisSystem: End-to-End Voice-driven Data Visualization Generation from Natural Language Questions | Haodi Zhang (Shenzhen University, China), Xiaohui Tang (Shenzhen University, China), Xinhe Zhang (Shenzhen University, China), Jihua Zhou (Shenzhen University, China) and Yuanfeng Song (WeBank AI, China) | |
| 249 | ReportGRI: Automating GRI Alignment and Report Assessment | Aida Usmanova (Leuphana University of Lüneburg, Germany), Rana Abdullah (Leuphana University of Lüneburg, Germany), Debayan Banerjee (Leuphana University of Lüneburg, Germany), Markus Leippold (University of Zurich, Switzerland) and Ricardo Usbeck (Leuphana University of Lüneburg, Germany) | |
| 250 | A Demonstration of PKGem: Secure Enrichment of Personal Knowledge Graphs | Junzhou Su (University of Minnesota, Twin Cities, United States), Sriram Nutulapati (University of Minnesota, Twin Cities, United States) and Chang Ge (University of Minnesota, Twin Cities, United States) | |
| 251 | SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation | Ines Besrour (TU Dresden & ScaDS.AI, Germany), Jingbo He (TU Dresden & ScaDS.AI, Germany), Tobias Schreieder (TU Dresden & ScaDS.AI, Germany) and Michael Färber (TU Dresden & ScaDS.AI, Germany) | |
| 252 | Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation | Hasan Yücedag (Leopold-Franzens Universität Innsbruck, Austria) and Adam Jatowt (Leopold-Franzens Universität Innsbruck, Austria) | |
| 253 | CALLM: A Framework for Systematic Contrastive Analysis of Large Language Models | Reinhard Fritsch (University of Innsbruck - Campus Technology, Austria) and Adam Jatowt (University of Innsbruck - Campus Technology, Austria) | |
| 254 | RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback | Abdelrahman Abdallah (university of innsbruck, Austria), Mahmoud Abdalla (chungbuk national university, Egypt), Bhawna Piryani (University Of Innsbruck, Austria), Jamshid Mozafari (University of Innsbruck, Austria), Mohammed Ali (university of Innsbruck, Austria) and Adam Jatowt (University of Innsbruck, Austria) | |
| 255 | AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance | Yuyang Zhao (University of Science and Technology of China, China), Wentao Shi (University of Science and Technology of China, China), Fuli Feng (University of Science and Technology of China, China) and Xiangnan He (University of Science and Technology of China, China) | |
| 256 | White Rabbit: Demonstrating Online KG Pathfinding Using Embeddings | Panagiotis Antivasis (HMU, Greece), Giannis Vassiliou (Hellenic Mediterranean University, Greece), Georgios Tsamis (Hellenic Mediterranean University, Greece), Paraskevi Zacharia (HMU, Greece), Eleftheria Barka (HMU, Greece), Julian Gini (HMU, Greece), Argyri Kyriakaki (HMU, Greece), Giorgos Andreadakis (HMU, Greece), Ioannis Christodoulakis (HMU, Greece), Nikolaos Papadakis (Hellenic Mediterranean University, Greece) and Haridimos Kondylakis (Institute of Computer Science, FORTH, Greece) | |
| 257 | LLM4IA: Index Advising Via Large Language Models | Xian Lyu (Xiamen University, China), Junbiao Zhang (School of Informatics, Xiamen University, China), Yihang Zheng (School of Informatics, Xiamen University, China), Guoliang Li (Department of Computer Science, Tsinghua University, China) and Chen Lin (School of Informatics, Xiamen University, China) | |
| 258 | mmm-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs | Swati Swati (Research Institute CODE, University of the Bundeswehr Munich, Germany), Arjun Roy (Freie Universität Berlin, Research Institute Code, Germany), Emmanouil Panagiotou (Freie Universität Berlin, Research Institute Code, Germany) and Eirini Ntoutsi (Research Institute CODE, University of the Bundeswehr Munich, Germany) | |
| 259 | EdgeSLU: 1.58-bit Voice Control Framework | Seungeon Lee (ENERZAi, South Korea), Junuk Jung (ENERZAi, South Korea), Sanghyun Jung (ENERZAi, South Korea), Changbeom Kang (ENERZAi, South Korea) and Jaeyoon Yoo (ENERZAi, South Korea) | |
| 260 | CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education | Chengshuai Zhao (Arizona State University, United States), Riccardo De Maria (Arizona State University, United States), Tharindu Kumarage (Arizona State University, United States), Kumar Satvik Chaudhary (Arizona State University, United States), Garima Agrawal (Arizona State University, United States), Yiwen Li (Arizona State University, United States), Jongchan Park (Arizona State University, United States), Ying-Chih Chen (Arizona State University, United States), Yuli Deng (Arizona State University, United States) and Huan Liu (Arizona State University, United States) | |
| 261 | HealthGenie: An Interactive Knowledge-Driven LLM Framework for Tailored Dietary Guidance | Fan Gao (The University of Tokyo, Japan), Xinjie Zhao (The University of Tokyo, Japan), Ding Xia (The University of Tokyo, Japan), Zhongyi Zhou (The University of Tokyo, Japan), Rui Yang (Duke-NUS Medical School, Singapore), Jinghui Lu (Smartor Inc., Japan), Hang Jiang (MIT, United States), Chanjun Park (Korea University, South Korea) and Irene Li (The University of Tokyo, Japan) | |
| 262 | iMask: Towards a Smart Mask Network Prototype for Monitoring Respiratory Viruses | Emma Tong (University Laboratory High School, United States), Cynthia Smyser (University Laboratory High School, United States) and Chen Chen (University of Virginia, United States) | |
| 263 | AnDri: A System for Anomaly and Drift co-Detection | Jongjun Park (McMaster University, Canada), Ziqi Guo (McMaster University, Canada) and Fei Chiang (McMaster University, Canada) | |
| 264 | ESPRESSO: Privacy-Preserving Keyword Search on Decentralized Data with Differential Visibility Constraints | Mohamed Ragab (School of Electronics and Computer Science, University of Southampton Southampton, United Kingdom, United Kingdom), Mohamed Bahrani (School of Electronics and Computer Science, University of Southampton Southampton, United Kingdom, United Kingdom), Helen Oliver (School of Computing and Mathematical Sciences, Birkbeck, University of London London, United Kingdom, United Kingdom), Thanassis Tiropanis (School of Electronics and Computer Science, University of Southampton Southampton, United Kingdom, United Kingdom), Alexandra Poulovassilis (School of Computing and Mathematical Sciences, Birkbeck, University of London London, United Kingdom, United Kingdom) and Adriane Chapman (School of Electronics and Computer Science, University of Southampton Southampton, United Kingdom, United Kingdom) | |
| 265 | SDD: Shape-aware Data-driven Attention Mechanism for Time Series Analysis | Yanyun Cao (Hong Kong Baptist University, Hong Kong), Rundong Zuo (Hong Kong Baptist University, Hong Kong), Rui Cao (Hong Kong Baptist University, Hong Kong), Byron Choi (Hong Kong Baptist University, Hong Kong), Jianliang Xu (Hong Kong Baptist University, Hong Kong) and Sourav Bhowmick (Nanyang Technological University, Singapore) | |
| 266 | How to make museums more interactive? Case study of Artistic Chatbot | Filip Kucia (Warsaw University of Technology, Poland), Anna Wróblewska (Warsaw University of Technology, Poland), Bartosz Grabek (Warsaw University of Technology, Poland) and Szymon Trochimiak (Warsaw University of Technology, Poland) | |
| 267 | Explain and Monitor Deep Learning Models for Computer Vision using Obz AI | Neo Christopher Chung (University of Warsaw, Poland) and Jakub Binda (University of Warsaw, Poland) | |
| 268 | An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution | Saketh Vishnubhatla (Arizona State University, United States), Alimohammad Beigi (Arizona State University, United States), Rui Heng Foo (Arizona State University, United States), Umang Goel (Arizona State University, United States), Ujun Jeong (Arizona State University, United States), Bohan Jiang (Arizona State University, United States), Adrienne Raglin (DEVCOM Army Research Lab, United States) and Huan Liu (Arizona State University, United States) | |
| 269 | The Temporal Game: A New Perspective on Temporal Relation Extraction | Hugo Sousa (INESC TEC, Portugal), Ricardo Campos (University of Beira Interior; INESC TEC; Ci2 Smart Cities Research Center (Polytechnic Institute of Tomar), Portugal) and Alípio Jorge (University of Porto, Portugal) | |
| 270 | STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data | Xiaolin Han (Northwestern Polytechnical University, China), Yonghao Zhou (Northwestern Polytechnical University, China), Chenhao Ma (The Chinese University of Hong Kong, Shenzhen, China), Fang Li (National Research Center of Parallel Computer Engineering and Technology, China) and Xuequn Shang (Northwestern Polytechnical University, China) | |
| 271 | TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis | Zhengyuan Zhu (University of Texas at Arlington, United States), Haiqi Zhang (University of Texas at Arlington, United States), Zeyu Zhang (University of Texas at Arlington, United States) and Chengkai Li (University of Texas at Arlington, United States) | |
| 272 | JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference | Zongyue Xue (Tsinghua University; Yale Law School, China), Siyuan Zheng (Tsinghua University; Shanghai Jiaotong University, China), Shaochun Wang (Tsinghua University, China), Yiran Hu (Tsinghua University; University of Waterloo, China), Yuxin Yao (Tsinghua University, China), Shengran Wang (Tsinghua University, China), Haitao Li (Tsinghua University, China), Qingyao Ai (Tsinghua University, China), Yiqun Liu (Tsinghua University, China), Yun Liu (Tsinghua University, China) and Weixing Shen (Tsinghua University, China) | |
| 273 | Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research | Haowei Lou (UNSW Sydney, Australia), Helen Paik (The University of New South Wales, Australia), Basem Suleiman (UNSW Sydney, Australia), Wen Hu (The University of New South Wales, Australia) and Lina Yao (CSIRO and The University of New South Wales, Australia) | |
| 274 | Compare: A Framework for Scientific Comparisons | Moritz Staudinger (TU Wien, Austria), Wojciech Kusa (NASK, Poland), Matteo Cancellieri (The Open University, United Kingdom), David Pride (The Open University, United Kingdom), Petr Knoth (The Open University, United Kingdom) and Allan Hanbury (TU Wien, Austria) |
