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ORCID34th WWW 2025: Sydney, NSW, Australia - Companion Volume
- Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov:
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025. ACM 2025, ISBN 979-8-4007-1331-6
Tutorials
- Kayhan Behdin
, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu:
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. 1-4 - Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi:
Artificial Intelligence for Complex Network: Potential, Methodology and Application. 5-8 - Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan:
Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. 9-12 - Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley:
Generative Recommendation Models: Progress and Directions. 13-16 - Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
Joint Modeling in Deep Recommender Systems. 17-20 - Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang:
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. 21-24 - Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han:
Retrieval and Structuring Augmented Generation with LLMs for Web Applications. 25-28 - Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang:
Time Series Analysis in the Web: Recent Advances and Future Trends. 29-32 - Linhao Luo, Carl Yang, Evgeny Kharlamov, Shirui Pan:
Integrating Large Language Models and Knowledge Graphs for Next-level AGI. 33-36 - Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng:
Computational Advertising: Recent Advances. 37-40 - Jian Pei, Xiaohui Yu:
Data and AI Markets in a Nutshell. 41-44 - Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan:
Rethink Deep Learning with Invariance in Data Representation. 45-48 - Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. 49-52 - Xin Wang, Haoyang Li, Zeyang Zhang, Wenwu Zhu:
Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM. 53-56 - Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Haixun Wang:
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. 57-60 - Peng Yan, Shengchao Chen, Guodong Long:
Federated Intelligence in Web: A Tutorial. 61-64 - Jiangchao Yao, Feng Liu, Bo Han:
Trustworthy AI under Imperfect Web Data. 65-68 - Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang:
Graph Condensation: Foundations, Methods and Prospects. 69-72 - Yifei Yuan, Zahra Abbasiantaeb, Yang Deng, Mohammad Aliannejadi:
Query Understanding in LLM-based Conversational Information Seeking. 73-76 - Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu:
Resource-Efficient Learning for the Web. 77-80 - Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen:
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. 81-84
Industry Track Papers
- Pulkit Agrawal, Rukma Talwadker, Aditya Pareek, Tridib Mukherjee:
FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning. 85-94 - Fenglin Bi, Dongdong Cao, Zhiyu Wang, Yang Chen, Fangliang Zhao, Tao Hu, Zhi Li, Yanbin Zhang, Wei Wang:
RBDQ: A Reliable LLM-based Text-to-SQL System for Business Data Queries. 95-103 - Leng Cai, Junxuan He, Yikai Li, Junjie Liang, Yuanping Lin, Ziming Quan, Yawen Zeng, Jin Xu:
RTBAgent: A LLM-based Agent System for Real-Time Bidding. 104-113 - Heng Chang, Liang Gu, Cheng Hu, Zhinan Zhang, Hong Zhu, Yuhui Xu, Yuan Fang, Zhen Chen:
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling. 114-123 - Gaode Chen, Ruina Sun, Yinjie Jiang, Tianxiang Li, Yinlong Dai, Qifan Shi, Xiaojie Qin, Jialong Fu, Piaoyi Chen, Ronggeng Huang, Na Li, Qi Zhang, Jiang Liang, Han Li, Kun Gai:
A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective. 124-132 - Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong:
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems. 133-142 - Peilin Chen, Xulin Wang, Xin Shu, Yong Liu, Pan Wang:
A Districting System for Sales Territory Design. 143-151 - Rong Chen, Shuzhi Cao, Ailong He, Shuguang Han, Jufeng Chen:
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction. 152-161 - Xiaoshuang Chen, Yibo Wang, Yao Wang, Husheng Liu, Kaiqiao Zhan, Ben Wang, Kun Gai:
Creator-Side Recommender System: Challenges, Designs, and Applications. 162-170 - Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang:
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. 171-180 - Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong:
Transferable and Forecastable User Targeting Foundation Model. 181-190 - Scott Freitas, Jovan Kalajdjieski, Amir Gharib, Robert McCann:
AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security. 191-200 - Guobing Gan, Kaiming Gao, Li Wang, Shen Jiang, Peng Jiang:
HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads. 201-210 - Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. 211-220 - Keerthi Gopalakrishnan, Tianning Dong, Chia-Yen Ho, Yokila Arora, Topojoy Biswas, Jason Cho, Sushant Kumar, Kannan Achan:
Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. 221-227 - Renjun Hu, Yi Cheng, Libin Meng, Jiaxin Xia, Yi Zong, Xing Shi, Wei Lin:
Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons. 228-237 - Jin Huang, Yu Qian, Zixu Yang, Zhijun Sun:
Disentangling Scenario-wise Interest Network for Multi-scenario Recommendation. 238-247 - Xiaowei Huang, Huanghuang Liang, Zhili He, Sihan Feng, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Dazhao Cheng:
Intelligent Welding System for Aluminum Coils by Adaptive Path Planning with Real-world Dataset. 248-256 - Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang:
HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. 257-266 - Zhenhao Jiang, Chenghao Chen, Hao Feng, Yu Yang, Jin Liu, Jie Zhang, Jia Jia, Ning Hu:
Pre-train and Fine-tune: Recommenders as Large Models. 267-276 - Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt:
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling. 277-286 - Sujay Khandagale, Bhawna Juneja, Prabhat Agarwal, Aditya Subramanian, Jaewon Yang, Yuting Wang:
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features. 287-295 - Xiangyu Li, Yawen Zeng, Xiaofen Xing, Jin Xu, Xiangmin Xu:
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System. 296-305 - Xuanlin Li, Xiangyu Cai, Hao Peng, Jia Duan, Wei Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao:
An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking. 306-314 - Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An:
GAS: Generative Auto-bidding with Post-training Search. 315-324 - Yingxue Li, Xiaolu Zhang, Jun Hu, Wenwen Xia, Ziyi Liu, Xiaobo Qin, Binjie Fei, Jun Zhou:
SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting. 325-333 - Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, Wen Zhang, Huajun Chen:
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. 334-343 - Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li:
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. 344-353 - Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo:
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. 354-363 - Chang Liu, Huan Yan, Hongjie Sui, Haomin Wen, Yuan Yuan, Yuyang Han, Hongsen Liao, Xuetao Ding, Jinghua Hao, Yong Li:
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. 364-373 - Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Know When to Fold: Futility-Aware Early Termination in Online Experiments. 374-383 - Yuxuan Liu, Tianchi Yang, Zihan Zhang, Minghui Song, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang:
Towards Distributionally Balanced End-to-End Generative Retrieval. 384-393 - Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. 394-402 - Hyunkee Myung, Junwoo Yun, Wonryeol Kwak, Yoonbyung Lee, Joongsu Kim, Joohyun Kim:
TransForeCaster: In-and-Cross Categorized Feature Integration in User Representation Learning. 403-412 - Ming Pang, Chunyuan Yuan, Xiaoyu He, Zheng Fang, Donghao Xie, Fanyi Qu, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, Jingping Shao:
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval. 413-421 - Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei:
Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis. 422-431 - Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong:
Few-shot LLM Synthetic Data with Distribution Matching. 432-441 - Srijan Saket, Ikuhiro Ihara, Vaibhav Sharma, Md. Danish Kalim:
Dimension Mask Layer: Optimizing Embedding Efficiency for Scalable ID-based Models. 442-448 - Hongwei Shang, Nguyen Vo, Nitin Yadav, Tian Zhang, Ajit Puthenputhussery, Xunfan Cai, Shuyi Chen, Prijith Chandran, Changsung Kang:
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models. 449-457 - Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi:
Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. 458-467 - Tian Tang, Zhixing Tian, Zhenyu Zhu, Chenyang Wang, Haiqing Hu, Guoyu Tang, Lin Liu, Sulong Xu:
LREF: A Novel LLM-based Relevance Framework for E-commerce Search. 468-475 - Xianyang Tian, Xiang Xu, Chao Wang, Tong Ruan, Baohua Wu, Maofei Que, Shenghua Ni, Zhuoran Zhuang, Jingping Liu:
Towards Explainable Search Results in E-commerce. 476-484 - Anna Tigunova, Ghadir Eraisha, Ezgi Akçora:
sQuIrRel: Large-Scale Evaluation of E-commerce Query Classification Models. 485-489 - Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang:
Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. 490-499 - Jiaxing Wang, Yifeng Yu, Ning Fang, Bin Cao, Jing Fan, Ji Zhang:
MHG-Predictor: A Multi-Layer Heterogeneous Graph-based Predictor for Next Activity in Complex Business Processes. 500-509 - Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong:
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. 510-519 - Zhe Wang, Haozhu Wang, Yanjun Qi:
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance. 520-529 - Shuli Wang, Xue Wei, Senjie Kou, Chi Wang, Wenshuai Chen, Qi Tang, Yinhua Zhu, Xiong Xiao, Xingxing Wang:
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems. 530-537 - Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu:
HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. 538-547 - Xixuan Yang, Xin Huang, Chiming Duan, Tong Jia, Shandong Dong, Ying Li, Gang Huang:
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis. 548-556 - Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. 557-566 - Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo:
DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. 567-576 - Jun Yuan, Guohao Cai, Zhenhua Dong:
A Contextual-Aware Position Encoding for Sequential Recommendation. 577-585 - Changshuo Zhang, Zihan Lin, Shukai Liu, Yongqi Liu, Han Li:
Comment Staytime Prediction with LLM-enhanced Comment Understanding. 586-595 - Guoxiao Zhang, Yi Wei, Yadong Zhang, Huajian Feng, Qiang Liu:
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction. 596-600 - Qiang Zhang, Fengshun Xiao, Tianjiao Li, Li Lin, Hanyin Fang, Huyang Sun, Ruoyu Liu, Xiaoyan Zhu, Jiayin Wang:
Efficient Integration of ASR with Large Language Models to Enhance Video Search at Scale. 601-610 - Xu Zhang, Peng Wang, Chen Wang, Zhe Xu, Xiaohua Nie, Wei Wang:
Global Feature Enhancing and Fusion Framework for Strain Gauge Status Recognition. 611-620 - Binglei Zhao, Houying Qi, Guang Xu, Mian Ma, Xiwei Zhao, Feng Mei, Sulong Xu, Jinghe Hu:
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems. 621-630 - Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng:
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. 631-640 - Rui Zhao, Rui Zhong, Haoran Zheng, Wei Yang, Chi Lu, Beihong Jin, Peng Jiang, Kun Gai:
Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. 641-650 - Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen:
MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. 651-660 - Tianyu Zhu, Myong Chol Jung, Jesse Clark:
Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking. 661-670 - Jinfeng Zhuang, Yinrui Li, Runze Su, Ke Xu, Zhixuan Shao, Kungang Li, Ling Leng, Han Sun, Meng Qi, Yixiong Meng, Yang Tang, Zhifang Liu, Qifei Shen, Aayush Mudgal:
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. 671-680
PhD Symposium Papers
- Sara Fahad Dawood Al Lawati:
I Am Not a Caveman: An Eye-tracking Study of How Users are Influenced to Search in the Era of GenAI. 681-684 - Azza Bouleimen:
Using Large Language Models for Simulating Social Networks. 685-688 - Ransika Gunasekara:
Wearing Privacy at Risk: Privacy Leakages and Defense Strategies in Encrypted Traffic for Wearable Devices. 689-692 - Xingchen Hu:
Towards Whole Life-Cycle Management of Prefabricated Buildings based on Knowledge-Data Dual Driven Methods. 693-696 - Antonis Klironomos:
Towards Democratized Machine Learning: A Semantic Web Approach. 697-700 - Ilona M. Kousa:
Data-Driven Democracy? Using Social Media and AI for Knowledge Co-production in Energy Transition Research. 701-704 - Elyas Meguellati:
The Duality of Persuasion: Between Personalization and Detection. 705-708 - Hao Meng:
The Collaborative Intelligence Mathematics Tutoring Service. 709-712 - Noorain Mukhtiar:
A Fairer Client Selection Framework for Federated Internet of Things: Equality, Equity, and Trade-off Perspectives. 713-716 - Hongliang Ni:
Operationalising Harmlessness in Online AI Systems. 717-720 - Yidan Sun:
Scalable Estimation of Exponential Random Graph Models on Large Networks. 721-724 - Khoa-Dang Tran:
Explainable Manipulated Videos Detection Using Multimodal Large Language Models. 725-728
Resource Track Papers
- Leonardo Blas, Luca Luceri, Emilio Ferrara:
Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset. 729-732 - Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang:
RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection. 733-736 - Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen:
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. 737-740 - Amelia Kovacs, Jerry Chee, Sarah Dean:
Datasets for Navigating Sensitive Topics in Recommendation Systems. 741-744 - Alok Kumar, Siddharth Tumre, Sangameshwar Patil:
Benchmarking Near-Duplicate Detection in the era of Pay-walled News. 745-748 - Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi:
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. 749-752 - Qijiong Liu, Lu Fan, Xiao-Ming Wu:
Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. 753-756 - Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He:
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. 757-760 - Lefteris Loukas, Fabian Billert, Manos Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos:
EDGAR-CRAWLER: From Raw Web Documents to Structured Financial NLP Datasets. 761-764 - Shaojie Min, Shaobin Wang, Yaxiao Luo, Min Gao, Qingyuan Gong, Yu Xiao, Yang Chen:
FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks. 765-768 - Fuqiang Niu, Yi Yang, Xianghua Fu, Genan Dai, Bowen Zhang:
C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset. 769-772 - Gabriela Pinto, Charles Bickham, Tanishq Salkar, Joyston Menezes, Luca Luceri, Emilio Ferrara:
Tracking the 2024 US Presidential Election Chatter on TikTok: A Public Multimodal Dataset. 773-776 - Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, Xiuzhen Zhang:
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data. 777-780 - Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas:
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. 781-784 - Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu:
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact-Checking and Explanation Generation. 785-788 - Vinay Setty, Adam James Becker:
Annotation Tool and Dataset for Fact-Checking Podcasts. 789-792 - Yu Shang, Chen Gao, Nian Li, Yong Li:
A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. 793-796 - Qiang Sun, Sirui Li, Du Huynh, Mark Reynolds, Wei Liu:
TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs. 797-800 - Qiang Sun, Yuanyi Luo, Wenxiao Zhang, Sirui Li, Jichunyang Li, Kai Niu, Xiangrui Kong, Wei Liu:
Docs2KG: A Human-LLM Collaborative Approach to Unified Knowledge Graph Construction from Heterogeneous Documents. 801-804 - Masahiro Suzuki, Hiroki Sakaji:
Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain. 805-808 - Venktesh V, Vinay Setty:
FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking. 809-812 - Xiaoguang Wang, Chenxu Wang, Huanlong Liu, Mengqin Wang, Tao Qin, Pinghui Wang:
FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection. 813-816 - Shen Yuan, Shukai Gong, Hongteng Xu:
USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset. 817-820 - Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong:
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents. 821-824 - Yan Zhou, Baifan Zhou, Huajian Li, Qianhang Lyu, Yuanwei Qu, Arild Waaler, Ingrid C. Yu:
Dataset for Industrial Question Answering with Explanation and Scalable Ensemble Generation. 825-828
History of the Web Papers
- Mark Bernstein:
Amiability and the Web: Lessons from Red Vienna and the Origin of Computing. 829-832 - Reinaldo Ferraz, Diogo Cortiz, Henrique S. Xavier:
A Brief History of Images on the Web. 833-836 - Mayank Kejriwal, Deborah L. McGuinness, Henry Lieberman:
Commonsense AI in the History of the Web. 837-840 - Usman Naseem, Junaid Rashid, Junguen Kim, Amin Beheshti, Jian Yang, Mark Dras:
LLMs as Historical Actors: How AI Systems Influence the Web's Evolution. 841-844
Health Day
- Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson:
AI for Women's Health: Framework and Focus Areas. 845-848
Short Research Papers
- Inzamamul Alam, Md Tanvir Islam, Simon S. Woo:
Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal. 849-853 - Amir Babamahmoudi, Davood Rafiei, Mario A. Nascimento:
Evaluating Column Type Annotation Models and Benchmarks. 854-858 - Honglin Bao, Jiawei Zhang, Mingxuan Cao, James A. Evans:
From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021. 859-863 - Pietro Bernardelle, Leon Fröhling, Stefano Civelli, Riccardo Lunardi, Kevin Roitero, Gianluca Demartini:
Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas. 864-867 - Pranav Bhandari, Usman Naseem, Amitava Datta, Nicolas Fay, Mehwish Nasim:
Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires. 868-872 - Ziyi Bian, Cong Jiang, Fangzhi Zhu, Zheng Zhang:
Selective Multi-grained Alignment for Text-Video Retrieval. 873-877 - Ahmad Bin Rabiah, Nafis Sadeq, Julian J. McAuley:
Bridging Conversational and Collaborative Signals for Conversational Recommendation. 878-882 - Paolo Boldi, Flavio Furia, Sebastiano Vigna:
Ten Years of Open Wikipedia Ranking. 883-887 - Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu:
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. 888-892 - Brian J. Chan, Chao-Ting Chen, Jui-Hung Cheng, Hen-Hsen Huang:
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks. 893-897 - Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo:
Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. 898-902 - Hao Chen, Lun Du, Xu Chen, Xiaojun Ma, Jiang Zhang:
LLM-powered Heterogeneous Information Network Analytics. 903-906 - Xuanze Chen, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification. 907-910 - Haoran Cheng, Dixin Luo:
Inferring Directed Acyclic Graphs from Event Sequences via Learning Gromov-Wasserstein-Regularized Hawkes Processes. 911-914 - He Cheng, Depeng Xu, Shuhan Yuan:
Backdoor Attack against Log Anomaly Detection Models. 915-918 - Song Cheng, Qiannan Cheng, Linbo Jin, Lei Yi, Guannan Zhang:
SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition. 919-923 - Tek Raj Chhetri, Yaroslav O. Halchenko, Dorota Jarecka, Puja Trivedi, Satrajit S. Ghosh, Patrick Ray, Lydia Ng:
Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies. 924-928 - Cheng-Chih Chiu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction. 929-933 - Eun-Cheol Choi, Ashwin Balasubramanian, Jinhu Qi, Emilio Ferrara:
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection. 934-937 - Masaki Chujyo, Dongwoo Lim, Mikihito Tanaka, Fujio Toriumi:
Community Notes for Preventing the Spread of Misinformation After the Noto Peninsula Earthquake in Japan. 938-941 - Hoang Cuong Nguyen, Shahroz Tariq, Mohan Baruwal Chhetri, Bao Quoc Vo:
Towards Effective Identification of Attack Techniques in Cyber Threat Intelligence Reports using Large Language Models. 942-946 - Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R. Kaveri:
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models. 947-951 - Ke Ding, Bo Li, Fangxiao Wang:
Distributed Secretary Problem: A Case of Two Uneven Queues. 952-956 - Hossein Esfandiari, Samira Hossein Ghorban, Reza Hosseini Dolatabadi, Mahdi Qaempanah:
What is the Chance of Being so Unfair? 957-960 - Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu:
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. 961-965 - Johannes Frey, Jenifer Tabita Ciuciu-Kiss, Natanael Arndt:
Breaking Accessibility Barriers: An Ontology Proxy with Failure Recovery and Time Travel Capabilities. 966-970 - Cole Gawin, Yidan Sun, Mayank Kejriwal:
Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning. 971-975 - Jaidev Goel, Yuzhou Chen, Yulia R. Gel:
Few-shot Learning over Graphs Using Topological Prompts. 976-980 - Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris:
Unseen Fake News Detection Through Casual Debiasing. 981-985 - Junquan Gu, Hang Yu, Xiangfeng Luo:
A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. 986-990 - Shih-Wei Guo, Yao-Chung Fan:
GAIN: Gradual Adaptation for Continual Learning in Low-resource Environments. 991-995 - Alexandra-Elena Gurita, Radu-Daniel Vatavu:
Insights and Implications of Evaluating Accessibility Compliance in AI-Generated Web Interfaces. 996-1000 - Subhanu Halder, Manoj Kumar, Sandeep Kumar:
Multi-Component Coarsened Graph Learning for Scaling Graph Machine Learning. 1001-1004 - Bin Han, Sean T. Yang, Christopher LuVogt:
Cross-Lingual Text Classification with Large Language Models. 1005-1008 - Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang:
ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph. 1009-1013 - Xu Han, Haodong Lu, Huiyi Wang, Dong Gong:
Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning. 1014-1018 - Tony Danhui Huang, Yongli Ren, Xiuzhen Zhang:
Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering? 1019-1023 - Myung-Hwan Jang, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim:
RealGraphOF: A High-Performance Graph Engine for Very Large Graph Analysis. 1024-1027 - Chanwoo Jeong, Yujin Kang, Yoon-Sik Cho:
Leveraging Refined Negative Feedback with LLM for Recommender Systems. 1028-1032 - Hao Jiang, Yongxiang Tang, Yanxiang Zeng, Pengjia Yuan, Yanhua Cheng, Teng Sha, Xialong Liu, Peng Jiang:
Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. 1033-1037 - Cong Jiang, Fangzhi Zhu, Xiaowei Chen, Junxiong Zhu, Bo Zheng, Yifeng Wang, Zheng Zhang:
DMLoRA: Dynamic Multi-Subspace Low-Rank Adaptation. 1038-1042 - Hyeon Jin, Chaewon Yoon, Yurim Oh, Hyun-Je Song:
Abstractive Aspect-Based Comparative Summarization. 1043-1047 - Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls. 1048-1052 - Magdalena Kaiser, Gerhard Weikum:
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering. 1053-1057 - Mohamed Islem Kara Bernou, Aghiles Salah, Alexandru Tatar:
Investigating Cross-Domain Capabilities of LLMs in Two-Stage Recommender Systems. 1058-1061 - Aparup Khatua:
Policies for Refugee Mental Health Using Generative Agents. 1062-1066 - Namit Khurana, Mohammad Majid Akhtar, Rahat Masood, Salil S. Kanhere, Benjamin P. Turnbull:
Navigating the Gray Interventions: The Impact of Soft Moderation Techniques Across Social Media Platforms. 1067-1071 - Udayan Khurana, Sahil Suneja, Horst Samulowitz:
Table Retrieval using LLMs and Semantic Table Similarity. 1072-1076 - Chae-Hyun Kim, Yoon-Ryung Choi, Jin-Duk Park, Won-Yong Shin:
Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation. 1077-1081 - Hyunsoo Kim, Sangwi Kang, Kyunghan Lee, Taekyoung "Ted" Kwon:
A Certificate-centric Security Oracle for the Trustworthy Internet. 1082-1085 - Marina Kontalexi, Alexandros Gelastopoulos, Pantelis P. Analytis:
Social Influence Distorts Ratings in Online Interfaces. 1086-1090 - Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li:
Collaborative Diffusion Model for Recommender System. 1091-1095 - Hsiu-Hung Lee, Chung-Chi Chen, An-Zi Yen:
RAG-Enhanced Evidence Recommendation in Financial Legal Resolutions. 1096-1099 - João Augusto Leite, Olesya Razuvayevskaya, Carolina Scarton, Kalina Bontcheva:
A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation. 1100-1103 - Kaiyuan Li, Pengyu Wang, Yunshan Peng, Pengjia Yuan, Yanxiang Zeng, Rui Xiang, Yanhua Cheng, Xialong Liu, Peng Jiang:
EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. 1104-1108 - Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He:
Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. 1109-1112 - Zhaorui Lian, Binzong Geng, Xiyu Chang, Yu Zhang, Ke Ding, Ziyu Lyu, Guanghu Yuan, Chengming Li, Min Yang, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu:
EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. 1113-1117 - Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. 1118-1122 - Jonathan Lin, Aditya Joshi, Hye-young Paik, Tri Dung Doung, Deepti Gurdasani:
RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. 1123-1127 - Xiao Liu, Yan Li, Haishuai Wang:
Unraveling Spatial-Temporal and Out-of-Distribution Patterns for Multivariate Time Series Classification. 1128-1132 - Xiaoyu Liu, Yiqing Wu, Dingyuan Zhu, Yifan Wu, Daixin Wang, Xiaobo Qin, Fuzhen Zhuang:
Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction. 1133-1137 - Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani:
White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. 1138-1142 - Yezi Liu, Yanning Shen:
Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. 1143-1147 - YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia:
MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. 1148-1152 - Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
FMDLlama: Financial Misinformation Detection Based on Large Language Models. 1153-1157 - Hou-Wan Long, Nga-Man Wong, Wei Cai:
Bridging Culture and Finance: A Multimodal Analysis of Memecoins in the Web3 Ecosystem. 1158-1161 - Hui Lu, Zheng Chai, Yuchao Zheng, Zhe Chen, Deping Xie, Peng Xu, Xun Zhou, Di Wu:
Large Memory Network for Recommendation. 1162-1166 - Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee:
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. 1167-1171 - Yantong Lv, Wanjie Tao, Qun Dai, Zulong Chen, Quan Lu, Ning Jiang:
Dynamic Topic Segmentation in Dialogues: Enhancing Boundaries with Topic-Aware Propagation. 1172-1175 - Liang Lyu, James Siderius, Hannah Li, Daron Acemoglu, Daniel P. Huttenlocher, Asuman E. Ozdaglar:
Wikipedia Contributions in the Wake of ChatGPT. 1176-1179 - Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti:
A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. 1180-1183 - Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang:
Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling. 1184-1188 - Cameron McGowan, James Liu, Sushmita Ruj:
Security Considerations for Post-Quantum Signatures in DNSSEC via Request-Based Fragmentation. 1189-1193 - Aniket Mitra, Vinu E. Venugopal:
Stat-n-Ball: Enhancing Probabilistic Knowledge Graph Embeddings with Geometric and Confidence-Aware Models. 1194-1198 - Carlos Muñoz, Marcelo Mendoza, Hans Lobel, Brian Keith:
Imitating Human Reasoning to Extract 5W1H in News. 1199-1203 - Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems. 1204-1208 - Muhammad Shahid Muneer, Simon S. Woo:
Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale Dataset. 1209-1213 - Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai:
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems. 1214-1218 - Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie:
User-LLM: Efficient LLM Contextualization with User Embeddings. 1219-1223 - Kenneth Odoh:
UltraFilter: A Privacy-Preserving Bloom Filter. 1224-1228 - Soroush Omidvartehrani, Arash Dargahi Nobari, Davood Rafiei:
WebTableX: Efficiently Discovering Web Table Transformations Through Sampling. 1229-1233 - Valeria Pantè, David Axelrod, Alessandro Flammini, Filippo Menczer, Emilio Ferrara, Luca Luceri:
Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X. 1234-1238 - Swostik Pati, Yasir Zaki:
Evaluating the Efficacy of Next.js: A Comparative Analysis with React.js on Performance, SEO, and Global Network Equity. 1239-1243 - Nikhil Pattisapu, Siva Rajesh Kasa, Sumegh Roychowdhury, Karan Gupta, Anish Bhanushali, Prasanna Srinivasa Murthy:
Leveraging Structural Information in Tree Ensembles for Table Representation Learning. 1244-1248 - Minod Perera, Sheik Mohammad Mostakim Fattah, Sajib Mistry, Aneesh Krishna:
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing. 1249-1253 - Romana Pernisch, Daniil Dobriy, Axel Polleres:
The Massive Problem of Remote Changes in Ontology Reuse. 1254-1258 - Deeksha Prahlad, Chanhee Lee, Dongha Kim, Hokeun Kim:
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph. 1259-1263 - Weihong Qi, Hanjia Lyu, Jiebo Luo:
Representation Bias in Political Sample Simulations with Large Language Models. 1264-1267 - Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra:
JudgeBlender: Ensembling Automatic Relevance Judgments. 1268-1272 - José Frederico Rodrigues, Henrique Lopes Cardoso, Carla Teixeira Lopes:
Evaluating Llama 3 for Text Simplification: A Study on Wikipedia Lead Sections. 1273-1277 - Abilasha S, Rafika Boutalbi, Stéphane Delliaux:
Multi-view Topic Modeling Using Multi-text Representations. 1278-1282 - Guillaume Salha-Galvan, Jiaying Xu:
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders. 1283-1287 - Julian A. Schnabel, Johanne R. Trippas, Falk Scholer, Danula Hettiachchi:
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment. 1288-1292 - Dong-Hyuk Seo, Hyomin Shin, Sang-Wook Kim:
Exploring Search Volumes of Terms in Web Portals for Accurate Event-Aware Traffic Prediction. 1293-1297 - Haonan Shi, Tu Ouyang, An Wang:
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models. 1298-1302 - Yang Shi, Yiping Sun, Jiaolong Du, Xiaocheng Zhong, Zhiyong Wang, Yao Hu:
Scalable Overload-Aware Graph-Based Index Construction for 10-Billion-Scale Vector Similarity Search. 1303-1307 - Wenzheng Shu, Yanxiang Zeng, Yongxiang Tang, Teng Sha, Ning Luo, Yanhua Cheng, Xialong Liu, Fan Zhou, Peng Jiang:
Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. 1308-1311 - Yuxuan Song, Qiudan Li, Shu Wu, Zheng Xie, Daniel Dajun Zeng:
A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection. 1312-1315 - Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò:
Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. 1316-1320 - Tilahun Abedissa Taffa, Ricardo Usbeck:
Bridge-Generate: Scholarly Hybrid Question Answering. 1321-1325 - Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang:
Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. 1326-1330 - Likai Tang, Niruth Bogahawatta, Yasod Ginige, Jiarui Xu, Shixuan Sun, Surangika Ranathunga, Suranga Seneviratne:
A Framework to Assess Multilingual Vulnerabilities of LLMs. 1331-1335 - Khoa Tran, Simon S. Woo:
Fairness and Robustness in Machine Unlearning. 1336-1340 - Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng:
Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation. 1341-1345 - Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng:
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. 1346-1350 - Lanjun Wang, Mingwang Hu, Shixiong Xu, Mengbiao Zhao, Jianlong Chang:
ConNEF: An Encryption Framework for Deep Neural Network IP Protection. 1351-1354 - Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng:
Leveraging LLMs for Influence Path Planning in Proactive Recommendation. 1355-1359 - Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. 1360-1364 - Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang:
Poisoning Attacks and Defenses to Federated Unlearning. 1365-1369 - Yue Wang, Dingyi Zhang, Haoyu Wenren, Yue Wang, Yingming Li:
EKD4Rec: Ensemble Knowledge Distillation from LLM-based Models to Traditional Sequential Recommenders. 1370-1374 - Zhipeng Wang, Rui Sun, Elizabeth Lui, Tuo Zhou, Yizhe Wen, Jiahao Sun:
AIArena: A Blockchain-Based Decentralized AI Training Platform. 1375-1379 - Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Sadeque, Taki Hasan Rafi, Dong-Kyu Chae:
Dialectal Bias in Bengali: An Evaluation of Multilingual Large Language Models Across Cultural Variations. 1380-1384 - Hiroki Watanabe, Motonobu Uchikoshi:
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs. 1385-1389 - Chiyu Wei, Sean Noh, Ho-Chun Herbert Chang:
Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election. 1390-1393 - Penghui Wei:
Ideation: Diversifying Ad Text Generation in Sponsored Search with Latent Diffusion. 1394-1397 - Nimesha Wickramasinghe, Arash Shaghaghi, Elena Ferrari, Sanjay K. Jha:
Less is More: Simplifying Network Traffic Classification Leveraging RFCs. 1398-1401 - Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang:
Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. 1402-1406 - Wenjia Wu, Shuzi Niu, Ziwei Li, Tao Yuan, Weijia Xu:
Token Graph Generation for Robust Named Entity Recognition. 1407-1411 - Nan Xi, Jingjing Meng, Yietian Chen, Chaosheng Dong, Yan Gao, Yi Sun, Junsong Yuan:
Generative Prompting for Complex Product Retrieval. 1412-1416 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Frequency-aware Graph Signal Processing for Collaborative Filtering. 1417-1421 - Mengyu Xiang, Yuxuan Song, Qiudan Li, Shu Wu, Daniel Dajun Zeng:
Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment. 1422-1425 - Zhixiong Xie, Wenlong Tian, Jianfeng Lu, Weijun Xiao, Zhiyong Xu:
High-Performance and Secure Jaccard Similarity Estimation for Cloud Storage. 1426-1430 - Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang:
MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning. 1431-1435 - Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song:
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. 1436-1440 - Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou:
MAQInstruct: Instruction-based Unified Event Relation Extraction. 1441-1445 - Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. 1446-1449 - Kehan Xu, Kun Zhang, Wei Huang, Jingyuan Li, Yuanzhuo Wang:
RLG-RAG: Guiding the Knowledge Retrieval and Evaluation in Retrieval-Augmented Generation Framework by Reasoning Logic. 1450-1454 - Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia:
Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. 1455-1459 - Meng Yan, Cai Xu, Xujing Wang, Ziyu Guan, Wei Zhao, Yuhang Zhou:
Conf-GNNRec: Quantifying and Calibrating the Prediction Confidence for GNN-based Recommendation Methods. 1460-1464 - Di Yang, Jingwei Zhu, Haihong Wu, Minghuan Tan, Chengming Li, Min Yang:
CascadeRCG: Retrieval-Augmented Generation for Enhancing Professionalism and Knowledgeability in Online Mental Health Support. 1465-1469 - Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Training Large Recommendation Models via Graph-Language Tokens Alignment. 1470-1474 - Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao:
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems. 1475-1479 - Yitian Yang, Huaming Chen:
Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection. 1480-1484 - Yiheng You, Xin Wang, Jiake Ge, Hui Wang, Menglu Ma, Yongqi Yin:
KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures. 1485-1489 - Hang Yu, Haoyi Yu:
Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. 1490-1494 - Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. 1495-1499 - Song Kyung Yu, Da Eun Lee, Yunyong Ko, Sang-Wook Kim:
HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction. 1500-1504 - Chongjian Yue, Lun Du, Mengyuan Chen:
Heterogeneous Temporal Graph Neural Networks for Link Prediction. 1505-1509 - Heming Zhang, Di Huang, Yixin Chen, Fuhai Li:
GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning. 1510-1513 - Longxiang Zhang, Linlin Yu, Bin Chen, Zhuojun Wang, Chengfu Huo:
Pricing Items Based on Their Own History: Transformer-Generated Deep Isotonic Pricing Networks. 1514-1518 - Peiyi Zhang, Yazhou Zhang, Bo Wang, Lu Rong, Prayag Tiwari, Jing Qin:
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models. 1519-1523 - Yazhou Zhang, Mengyao Wang, Qiuchi Li, Prayag Tiwari, Jing Qin:
Pushing The Limit of LLM Capacity for Text Classification. 1524-1528 - Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang:
Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. 1529-1533 - Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang:
FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. 1534-1538 - Yuqiu Zhang, Hans-Arno Jacobsen:
Decentralized and Policy-Aware Serverless Orchestration for the Federated Web. 1539-1543 - Mingyuan Zhao, Jiafeng Gu, Wenjie Zhang:
AC-TKG+: Actor-Critic with Multi-Level Loss for Effective Few-shot Inductive Learning on Temporal Knowledge Graphs. 1544-1548 - Xujing Zhou, Xiaodong Yue, Yufei Chen, Linye Li:
Refining Confusion and Ignorance in Trusted Multi-View Classification. 1549-1553 - Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Qi Wu, Zuotao Liu:
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. 1554-1557 - Minghui Zou, Ronghui Guo, Sai Zhang, Xiaowang Zhang, Zhiyong Feng:
TAT: Improving Stance Detection on Social Media through Thought Alignment with LLMs. 1558-1562
Workshop Presentations
- Piotr Koniusz, Weizhi Ma:
WWW 2025 Workshop Chairs' Welcome. 1563-1564
MORE '25
- Yaxiong Wang, Yunzhong Hou, Shuyu Yang, Zhedong Zheng, Zhun Zhong, Liang Zheng:
MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. 1565-1567 - Jiayi He, Shengeng Tang, Ao Liu, Lechao Cheng, Jingjing Wu, Yanyan Wei:
Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search. 1568-1572 - Xiaoxing Hu, Tianlu Zheng, Kaicheng Yang, Ziyong Feng:
The Solution to the WWW25 Text-based Person Anomaly Search Challenge. 1573-1575 - Tien-Huy Nguyen, Huu-Loc Tran, Huu-Phong Phan-Nguyen, Quang-Vinh Dinh:
Hybrid, Unified and Iterative: A Novel Framework for Text-based Person Anomaly Retrieval. 1576-1580 - Yubing Sun, Shuguang Dou, Ding Qi, Yanping Li, Jiale Zhao, Cairong Zhao:
One for All: A Review of Large Pre-training Models for Re-Identification. 1581-1585 - Jizheng Zhang:
Enhancing Text-Based Person Retrieval via Loss Balancing and Vision-Language Models. 1586-1588
PromptEng '25
- Damien Graux, Sébastien Montella, Hajira Jabeen, Claire Gardent, Jeff Z. Pan:
[PromptEng] Second International Workshop on Prompt Engineering for Pre-Trained Language Models. 1589-1590 - Daniel Atzberger, Adrian Jobst, Mariia Tytarenko, Willy Scheibel, Jürgen Döllner, Tobias Schreck:
Analyzing the Sensitivity of Prompt Engineering Techniques in Natural Language Interfaces for 2.5D Software Visualization. 1591-1595 - Aneesha Bakharia:
Iterative Proof-Driven Development LLM Prompt. 1596-1597 - Mohna Chakraborty, Adithya Kulkarni, Qi Li:
Empirical Evaluation of Prompting Strategies for Fact Verification Tasks. 1598-1604 - Umut Halil, Jin Huang, Damien Graux, Jeff Z. Pan:
LLM Shots: Best Fired at System or User Prompts? 1605-1613 - Adrian Jobst, Daniel Atzberger, Mariia Tytarenko, Willy Scheibel, Jürgen Döllner, Tobias Schreck:
A Concept for Integrating an LLM-Based Natural Language Interface for Visualizations Grammars. 1614-1615 - Chayan Mondal, Duc-Son Pham, Ashu Gupta, Tele Tan, Tom Gedeon:
Leveraging Prompt Engineering with Lightweight Large Language Models to Label and Extract Clinical Information from Radiology Reports. 1616-1625 - Maria Angela Pellegrino, Gabriele Tuozzo:
From Quality Reports to Knowledge Graphs: a Case Study on CSV-to-KG Transformation. 1626-1632 - Nicole R. Schneider, Nandini Ramachandran, Kent O'Sullivan, Hanan Samet:
Engineering Prompts for Spatial Questions. 1633-1634 - Riza Alaudin Syah, Christoforus Yoga Haryanto, Emily Lomempow, Krishna Malik, Irvan Putra:
EdgePrompt: Engineering Guardrail Techniques for Offline LLMs in K-12 Educational Settings. 1635-1638
AgenticAI4Science '25
- Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou:
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. 1639-1642 - Markus J. Buehler:
Towards Agentic AI for Science Hypothesis Generation, Comprehension, Quantification, and Validation. 1643-1644 - Sagar Uprety, Boyana Buyuklieva, Prayag Tiwari:
Using Large Language Models for Hypotheses and Claims Extraction from Scientific Literature. 1645-1648 - Jieun Kang, Subi Kim, Yongik Yoon:
RTC: Road Marking Thinking for Scenario Reasoning and Decision Support in Vigilant Driving. 1649-1658
Agent4IR '25
- Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu:
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. 1659-1662 - Kevin Dela Rosa:
Video-Enriched Retrieval Augmented Generation Using Aligned Video Captions. 1663-1667 - Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval. 1668-1671 - Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback. 1672-1676 - Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang:
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. 1677-1686 - Teng Mao, Shuangtao Yang, Bo Fu:
A Multi-Agent Framework for Multi-Source Manufacturing Knowledge Integration and Question Answering. 1687-1695 - Praveen Kumar Myakala, Chiranjeevi Bura:
Robust Defense Mechanisms for Agentic News Recommenders: Mitigating Data Poisoning Attacks. 1696-1704 - Karanbir Singh, William Ngu:
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval. 1705-1712
WebAndTheCity '25
- Leonidas G. Anthopoulos, Marijn Janssen, Vishanth Weerakkody:
11th WebAndTheCity: The Responsible Web and AI for Smart Cities. 1713-1714 - Dirk Ahlers:
Open Urban Innovation Ecosystems - Integration of Data, Services, and Stakeholders: Discussion Paper. 1715-1718 - Ioannis Nikolaou, Leonidas G. Anthopoulos:
REST API Access Control - an OPTIONS Based Approach. 1719-1723 - Basel Shbita, Binh Vu, Fandel Lin, Craig A. Knoblock:
Embedding Spatial and Semantic Contexts for Geo-Entity Typing in Smart City Applications. 1724-1732
FL@FM-TheWebConf '25
- Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu:
FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. 1733-1734 - Naima Noor, Afra Mashhadi:
Quantifying Individual Fairness in Continual Federated Learning. 1735-1743 - Nazmus Shakib Shadin, Xinyue Zhang:
FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data. 1744-1751 - Zixing Song, Irwin King, José Miguel Hernández-Lobato:
FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency. 1752-1756 - Fernando Spadea, Oshani Seneviratne:
Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization. 1757-1760 - Bijun Wu, Oshani Seneviratne:
Blockchain-based Framework for Scalable and Incentivized Federated Learning. 1761-1767
TempWeb '25
- Marc Spaniol, Omar Alonso, Ricardo Baeza-Yates:
15th Temporal Web Analytics Workshop (TempWeb) Overview. 1768-1769 - Oshani Seneviratne:
Verifiable Provenance for the Web. 1770-1771 - Dirk Ahlers:
Temporal Aspects in Process Support for Urban Digital Twins. 1772-1773 - Tanja Aue, Adam Jatowt, Michael Färber:
Predicting Company ESG Ratings from News Articles Using Multivariate Timeseries Analysis. 1774-1780 - Mandy Ho, Nicholas Largey, Behrooz Mansouri:
Analyzing the Influence of the Pandemic on Seasonal Queries. 1781-1782 - Nicholas Largey, Mandy Ho, Janna Ahrndt, Behrooz Mansouri:
Temporal Aspects of CLIP Embeddings. 1783-1784 - Jun Li, Xiangmeng Wang, Yifei Yan, Haoyang Li, Hong Va Leong, Nancy Xiaonan Yu, Qing Li:
DynaProtect: A Dynamic Factor Influence Learning Framework for Protective Factor-aware Suicide Risk Prediction. 1785-1791 - Alessandro Perlo, Giordano Paoletti, Nikhil Jha, Luca Vassio, Jussara M. Almeida, Marco Mellia:
Topic-wise Exploration of the Telegram Group-verse. 1792-1801 - Nishavi Ranaweera, Jiarui Xu, Suranga Seneviratne, Aruna Seneviratne:
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection. 1802-1810
NEGEL '25
- Menglin Yang, Yifei Zhang, Jialin Chen, Melanie Weber, Rex Ying:
Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks. 1811-1814 - Fuxia Guo, Xiaowen Wang, Lanjun Wang:
MH-Diff: Muti-scale Hyperbolic Model for Information Diffusion Prediction. 1815-1823 - Shima Khoshraftar, Niaz Abedini, Amir Hajian:
GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs. 1824-1829 - Hongliang Qiao, Shanshan Feng, Min Zhou, Wentao Li, Fan Li:
Hyperbolic Multi-semantic Transition for Next POI Recommendation. 1830-1837 - Jun Zhai, Muberra Ozmen, Thomas Markovich:
Understanding the Design Principles of Link Prediction in Directed Settings. 1838-1847
TIME '25
- Lei Wang, Md. Zakir Hossain, Syed M. S. Islam, Tom Gedeon, Sharifa Alghowinem, Isabella Yu, Serena Bono, Xuanying Zhu, Gennie Nguyen, Nur Al Hasan Haldar, Seyed Mohammad Jafar Jalali, Md. Abdur Razzaque, Imran Razzak, Md Rafiqul Islam, Shahadat Uddin, Naeem Janjua, Aneesh Krishna, Manzur Ashraf:
TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation. 1848-1851 - Samuel Cameron:
Witty Gerbil Chrome Extension: A Browser-Based Framework for Comprehensive AI System Evaluation. 1852-1854 - Xi Ding, Lei Wang:
Do Language Models Understand Time? 1855-1868 - Xi Ding, Lei Wang:
The Journey of Action Recognition. 1869-1884 - Leela Prasad Gorrepati, Raj Sonani, Venkatesh Velugubantla, Ravi Teja Potla, MSVPJ Sathvik:
Mental Health and Relations: Detection of Mental Health Disorders Related to Relationship Issues Through Reddit Posts. 1885-1889 - Ehsan ul Haq, Shalini Jangra, Suparna De, Nishanth Sastry, Gareth Tyson:
Unpacking the Layers: Exploring Self-Disclosure Norms, Engagement Dynamics, and Privacy Implications. 1890-1899 - Md Sarwar Kamal, Md Rafiqul Islam:
Mathematical AI-Driven Insights into Societal Dynamics and Resilience. 1900-1907 - Md Sarwar Kamal, Sonia Farhana Nimmy, Wafa Alharbi:
Explainable Vision-Language Model for Personalized Medicine. 1908-1915 - Jushang Qiu, Lei Wang:
Evolving Skeletons: Motion Dynamics in Action Recognition. 1916-1937 - Shuvam Shiwakoti, Siddhant Bikram Shah, Wei Wang, Surendrabikram Thapa, Imran Razzak, Usman Naseem:
BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection. 1938-1945 - Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang:
Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. 1946-1952 - Rune Chi Zhao, Xiuyuan Yuan:
AI in Healthcare for Resource Limited Settings: An Exploration and Ethical Evaluation. 1953-1960
MM4SG '25
- Usman Naseem, Surendrabikram Thapa, Roy Ka-Wei Lee, Mehwish Nasim:
Third International Workshop on Multimodal Content Analysis for Social Good. 1961-1962 - Stefano Civelli, Pietro Bernardelle, Gianluca Demartini:
The Impact of Persona-based Political Perspectives on Hateful Content Detection. 1963-1968 - Pratham Grover, Vijayrajsinh Gohil, Bhavya Goel, Hariram Veeramani, Siddhant Bikram Shah, Sandesh Rajendra Jain, Surendrabikram Thapa, Imran Razzak, Usman Naseem:
PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict. 1969-1978 - Md Shakil Hossain, Md. Mithun Hossain, Sudipto Chaki, Muhammad Firoz Mridha, Md. Saifur Rahman, Mohammad Ali Moni:
Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis. 1979-1987 - Syed Mahbubul Huq, Basem Suleiman:
Content Filtering on YouTube: An LLM Approach for Detecting and Scoring Harmful Content. 1988-1992 - Ilya Stepanov, Junaid Rashid, Jong Weon Lee, Salman Naseem, Imran Razzak:
CBRCL: A CLIP-BERT with Retrieval-Guided Contrastive Learning Multimodal Approach for Crisis-Driven Hate Speech Detection. 1993-1999 - Kairui Jin, Xing Zi, Karthick Thiyagarajan, Ali Braytee, Mukesh Prasad:
IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering. 2000-2007 - Yiqiao Jin, Stefano Petrangeli, Yu Shen, Gang Wu:
ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction. 2008-2013 - Girish A. Koushik, Diptesh Kanojia, Helen Treharne:
Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content. 2014-2023 - Md. Kowsar Hossain Sakib, Md Rafiqul Islam, Shanjita Akter Prome, Sadia Jahan, David Asirvatham, Neethiahnanthan Ari Ragavan, Cesar Sanín, Weidong Huang:
MVis4SID: Multimodal Visual Interactive System for Suicide Ideation Detection. 2024-2033 - Rishik Sood, Ali Anaissi, Weidong Huang, Ali Braytee:
MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought. 2034-2041 - Surendrabikram Thapa, Hariram Veeramani, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem:
Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding. 2042-2051
WSAI '25
- Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen George, Johan Barthelemy, Yan Liu, Ling Chen:
Workshop on Sustainable AI for the Future Web. 2052-2055 - Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang:
GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. 2056-2065 - Jimin Ryu, Hyeyoung Kim, Yong Ik Yoon:
Integrating Edge Computing-Based Ethical Decision-Making Framework for AI. 2066-2070 - Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem:
KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. 2071-2077 - Cheng Qian, Hainan Zhang, Lei Sha, Zhiming Zheng:
HSF: Defending against Jailbreak Attacks with Hidden State Filtering. 2078-2087
HCRS@TheWebConf '25
- Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun:
The 1st Workshop on Human-Centered Recommender Systems. 2088-2091 - Xingbo Jing, Tao Lian, Li Wang:
Revealing, Analyzing, and Mitigating the Adverse Impact of Shared Accounts on Personalized Recommendations for Single-User Accounts. 2092-2101 - Stanislaw Wozniak, Jacek Duszenko, Jan Kocon, Przemyslaw Kazienko:
Improving LLM-Based Recommender Systems with User-Controllable Profiles. 2102-2111
WDQ '25
- Maria Angela Pellegrino, Anisa Rula, Anelia Kurteva:
The Web of Data Quality Workshop. 2112-2115 - Shima Esfandiari:
Enhancing Data Quality by Identifying Influential Nodes: Integrating Complementary Features with CoCoFISo. 2116-2119 - Yuhao Gong, Zhenbo Lu, Wanxuan Lu, Wengang Zhou, Houqiang Li:
Adaptive Confidence-aware Preference-based Reinforcement Learning with Noisy Feedback. 2120-2128 - Elyas Meguellati, Nardiena A. Pratama, Shazia Sadiq, Gianluca Demartini:
Are Large Language Models Good Data Preprocessors? 2129-2132 - Oshani Seneviratne, Brendan Capuzzo, William Van Woensel:
Explainability-Driven Quality Assessment for Rule-Based Systems. 2133-2140 - Gabriele Tuozzo:
Navigating the LOD Subclouds: Assessing Linked Open Data Quality by Domain. 2141-2148
EReL@MIR '25
- Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. 2149-2152 - Xuri Ge, Linqing Li, Songpei Xu, Kaiwen Zheng, Yaoqin He, Junchen Fu, Joemon M. Jose:
The DenseCap-Guided Attention Network For Image-Text Matching. 2153-2160 - Seunghoon Han, Mingyu Choi, Hyewon Lee, SoYoung Park, Jong-Ryul Lee, Sungsu Lim, Tae-Ho Kim:
Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering. 2161-2169 - Dong Liu, Esther Lopez Ramos:
Multimodal Semantic Retrieval for Product Search. 2170-2175 - Zhiyu Liu, Junchen Fu, Kaiwen Zheng, Joemon M. Jose:
Exploring Multimodal Pre-trained Models for Speech Emotion Recognition. 2176-2180 - Feiyang Wang, Xiaomin Yu, Wangyu Wu:
CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language Model. 2181-2186 - Jianfang Wang, Menghao Liang, Anunobi Victor Chibueze:
Multi-modal Negative Sampling for Recommendation with User Interest. 2187-2195 - Wangyu Wu, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Fusion for Cross-Domain Sequential Recommendation. 2196-2202
AI4TS '25
- Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen:
The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. 2203-2206 - Disen Lan, Guibin Zhang, Rongjin Guo:
Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation. 2207-2214 - Beining Zhang, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu, Bei Wang, Kai Wang:
TSGGuide: Recommendation Guide for Multivariate Time Series Generation. 2215-2224
LLM-UM '25
- Zhicheng Lu, Mohammad Ali Moni, Yuk Ying Chung, Tom Weidong Cai, Xiaoming Chen:
LLM-UM: The 1st Workshop on Large Language Model Using Multi-modal Data for User Modeling. 2225-2228 - Xiaoming Chen, Johannes Karlsson, Tim Wark, Ming Li:
Enhanced Zoo Visiting Experience with Participatory Computing in a Wireless Sensor Network. 2229-2234 - Liam Hebert, Marialena Kyriakidi, Hubert Pham, Krishna Sayana, James Pine, Sukhdeep S. Sodhi, Ambarish Jash:
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement. 2235-2244 - Xiaozhu Hu, Xiaoyu Mo, Xiaofu Jin, Yongquan 'Owen' Hu, Mingming Fan, Tristan Braud:
Modeling the Intuitiveness of Mobile GUI Navigation by Understanding and Simulating Users' Attention Distribution. 2245-2252 - Md Sarwar Kamal, Sonia Farhana Nimmy, Md Rafiqul Islam, Usman Naseem:
Explainable Medical Image Captioning. 2253-2261 - Kyuchang Kang, Changseok Bae, Dong-oh Kang:
Continual Learning based on Memory Update Model for Multimodal User Modeling. 2262-2268 - Yingjie Kuang, Tianchen Zhang, Zhen-Wei Huang, Zhongjie Zeng, Zhe-Yuan Li, Ling Huang, Yuefang Gao:
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction. 2269-2277 - Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu:
ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. 2278-2287 - Jieting Long, Zhiyuan Li, Jianan Fan, Zhuonan Liang, Ao Ma, Henning Müller, Weidong Cai:
Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation. 2288-2296 - Ao Ma, Zhiyuan Li, Zhuonan Liang, Tiancheng Gu, Jianan Fan, Jieting Long, Henning Müller, Weidong Cai:
Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering. 2297-2305 - Siddhant Bikram Shah, Shuvam Shiwakoti, Touhid Bhuiyan, Mohammad Ali Moni, Surendrabikram Thapa, Usman Naseem:
Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation. 2306-2313 - Zongyou Yu, Qiang Qu, Qian Zhang, Nan Zhang, Xiaoming Chen:
LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework. 2314-2319 - Shuning Zhang, Yongquan 'Owen' Hu, Xin Yi, Suranga Nanayakkara, Xiaoming Chen:
IntervEEG-LLM: Exploring EEG-Based Multimodal Data for Customized Mental Health Interventions. 2320-2326
WebST '25
- Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng:
The International Workshop on Spatio-Temporal Data Mining from the Web. 2327-2330 - Hadi Mohammadzadeh Abachi, Majid Namazi, Milad Mosharraf, Pooyan Asgari, Amin Beheshti:
A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms. 2331-2340 - Lin Xu, Yuankai Wu:
Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions. 2341-2350 - Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. 2351-2360 - Yunxiao Li, Mingyang Wei, Zewen Liu, Max S. Y. Lau, Wei Jin:
Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective. 2361-2366 - Haonan Shi, Long Tian, Jie Tao, Yufei Li, Liming Wang, Xiyang Liu:
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation. 2367-2376
Personal Intelligence '25
- Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He:
The 3rd Workshop on Personal Intelligence with Generative AI. 2377-2380 - Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Avi Caciularu, Ido Dagan:
Identifying User Goals From UI Trajectories. 2381-2390 - Noam Kahlon, Guy Rom, Anatoly Efros, Filippo Galgani, Omri Berkovitch, Sapir Caduri, William E. Bishop, Oriana Riva, Ido Dagan:
Agent-Initiated Interaction in Phone UI Automation. 2391-2400 - Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng:
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction. 2401-2410 - Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun Su, Liam Hebert, James Pine, Hubert Pham, Ambarish Jash, Sukhdeep S. Sodhi:
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems. 2411-2420 - Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Generative Recommendation: Towards Personalized Multimodal Content Generation. 2421-2425 - Yuli Yang, Zhenhua Huang, Zhaohong Jia, Junfeng Fang:
A Comprehensive Security Evaluation Framework for Chinese Large Language Models. 2426-2433 - Haoran Zhang, Xin Kang, Junpeng Guo:
How does Search Affect Personalized Recommendations and User Behavior? Evidence from LLM-based Synthetic Data. 2434-2443
CV-ISLR '25
- Xin Shen, Heming Du, Miao Xu, Miaomiao Liu, Xin Yu:
Cross-View Isolated Sign Language Recognition Challenge: Design, Results and Future Research. 2444-2447 - Yuting Peng, Peiqi Jiao, Honggang Zou, Yuecong Min, Xilin Chen:
Synthetic View Augmentation for Sign Language Recognition. 2448-2452 - Fei Wang, Kun Li, Yiqi Nie, Zhangling Duan, Peng Zou, Zhiliang Wu, Yuwei Wang, Yanyan Wei:
Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition. 2453-2457 - Xinyu Wang:
Cross-View Isolated Sign Language Recognition with Graph. 2458-2462 - Zhongtian Zheng:
Zero-Shot Multi-View Australian Sign Language Recognition. 2463-2467
RELW '25
- Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu:
RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. 2468-2471 - Amir Aryani:
Augmented Intelligence for Research Capability Mapping. 2472 - Gianluca Demartini:
Bias in Humans and AI - What To Do About It? 2473 - Jiangcun Du, Renren Jin, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong:
Optimize Quantization for Large Language Models via Progressive Training. 2474-2483 - Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas:
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. 2484-2493 - Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. 2494-2502 - Parul Khandelwal, Parag Rachchh, Smit Patel, Parshva Gang, Preety Singh, Rajbir Kaur:
SparseNet: Sparse Tweet Network for Classification of Informative Posts using Graph Convolutional Network. 2503-2511 - Yiyue Qian, Shinan Zhang, Lanhao Chen, Diego Socolinsky, Negin Sokhandan, Song Cui, De Chen, Suchitra Sathyanarayana:
Enhancing E-commerce Representation Learning via Hypergraph Contrastive Learning and Interpretable LLM-Driven Analysis. 2512-2520 - William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu:
Improving Out-of-Vocabulary Hashing in Recommendation Systems. 2521-2530 - Hemraj Singh, Prashanth Baithi, Zarka Bashir:
DMSNet: A Lightweight and Efficient Facial Expression Recognition Model for IoT and WoT Applications. 2531-2535 - Ekaterina Trimbach, Badr Abdallaoui, Paul Missault:
Cost-Efficiency Trade-offs for Neural Cascade Rankers in Web Search. 2536-2544
NLP4KGC '25
- Edlira Vakaj, Nandana Mihindukulasooriya, Sanju Tiwari, Sergio José Rodríguez Méndez:
4th International Workshop on Natural Language Processing for Knowledge Graph Construction. 2545-2548 - Oshani Seneviratne:
Keeping Knowledge Graphs Alive: Constructing, Growing, and Sustaining Knowledge Graphs for the Long Haul. 2549-2550 - Haoting Chen, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran:
Open Local Knowledge Graph Construction from Academic Papers Using Generative Large Language Models. 2551-2559 - Suramya Jadhav, Suki Perumal, Yasmin Tadavi, Bikshita Dash, Srinivasan Parthiban:
Leveraging Large Language Models for Biomedical Knowledge Graph Construction and Querying: An Advanced NLP Approach. 2560-2566 - Runsong Jia, Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran:
StructRAG: Structure-Aware RAG Framework with Scholarly Knowledge Graph for Diverse Question Answering. 2567-2573 - Can Yang, Bernardo Pereira Nunes, Sergio Rodríguez Méndez:
LLM as Auto-Prompt Engineer: Automated NER Prompt Optimisation. 2574-2578 - Rui Yang, Boming Yang, Xinjie Zhao, Fan Gao, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. 2579-2588
SocialLLM '25
- Cheng-Te Li, Lun-Wei Ku:
The First International Workshop on Large Language Models for Social Media (SocialLLM 2025). 2589-2591 - Abdulrahman Alalawi, Abdullah Alsuhaibani, Usman Naseem, Basem Suleiman, Shoaib Jameel, Imran Razzak:
Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. 2592-2596 - Shuvam Shiwakoti, Siddhant Bikram Shah, Imran Razzak, Surendrabikram Thapa, Usman Naseem:
Addressing the Challenges of Mental Health Conversations with Large Language Models. 2597-2602 - Florian Lecourt, Madalina Croitoru, Konstantin Todorov:
'Only ChatGPT gets me': An Empirical Analysis of GPT versus other Large Language Models for Emotion Detection in Text. 2603-2611
BeyondFacts '25
- Konstantin Todorov, Pavlos Fafalios, Stefan Dietze, Dimitar Dimitrov:
BeyondFacts 2025: 5th International Workshop on Computational Methods for Online Discourse Analysis. 2612-2615 - Arvindh Arun, Karuna K. Chandra, Akshit Sinha, Balakumar Velayutham, Jashn Arora, Manish Jain, Ponnurangam Kumaraguru:
Topo Goes Political: TDA-Based Controversy Detection in Imbalanced Reddit Political Data. 2616-2625 - Flavio Bertini, Alessandro Benetton, Danilo Montesi:
Distributed Ledger and Text Watermarking for Fine-Grain Provenance Checking of Textual Content. 2626-2633 - Mayor Inna Gurung, Nitin Agarwal, Emmanuel Addai:
Developing a Stance-induced Epidemiological Model to Examine Polarized Information Contagion. 2634-2641 - Julie Jiang, Luca Luceri, Emilio Ferrara:
Moral Values Underpinning COVID-19 Online Communication Patterns. 2642-2650 - Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan:
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. 2651-2660 - Simon Fox Kuuse, Uku Kangur, Roshni Chakraborty, Rajesh Sharma:
Crowdsourced Fact-Checking or Biased Commentary? Analyzing Political Bias in Twitter's Community Notes. 2661-2669 - Mayra Russo, Flavio Merenda, José Manuél Gómez-Pérez, Maria-Esther Vidal:
Tracing Bias for Fairer Content-Based Misinformation Detection. 2670-2679 - Yassine Toughrai, David Langlois, Kamel Smaïli:
Fake News Detection via Intermediate-Layer Emotional Representations. 2680-2684 - Val Alvern Cueco Ligo, Lam Yin Cheung, Roy Ka-Wei Lee, Koustuv Saha, Edson C. Tandoc Jr., Navin Kumar:
User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore. 2685-2688 - Kristen Sussman, Daniel Carter:
Detecting Effects of AI-Mediated Communication on Language Complexity and Sentiment. 2689-2693 - Keisuke Toyoda, Tomoki Fukuma, Koki Noda, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Hiroshi Someda, Fujio Toriumi:
Understanding and Mitigating Polarization in Community Notes: Factors and Strategies for Improved Consensus. 2694-2698
LLM4ECommerce '25
- Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang:
Large Language Model for E-Commerce Workshop. 2699-2700 - Soumik Dey, Wei Zhang, Hansi Wu, Bingfeng Dong, Binbin Li:
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search. 2701-2705 - Gilad Fuchs, Alexander Nus, Yotam Eshel, Bracha Shapira:
Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models. 2706-2712 - Gilad Fuchs, Oded Zinman, Ido Ben-Shaul:
Practical Fact Checking System for LLMs. 2713-2716 - Hai-Dang Kieu, Minh-Duc Nguyen, Thanh-Son Nguyen, Dung D. Le:
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. 2717-2721 - Hrishikesh Kulkarni, Surya Kallumadi, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries. 2722-2731 - Liat Levontin, Baillie Shuster, Elad Yom-Tov, Brit Youngmann:
Are Copywriters the Best Humans for the Job? The Case of Health-Related Ads. 2732-2735 - Xinyi Liu, Ruijie Wang, Dachun Sun, Dilek Hakkani-Tür, Tarek F. Abdelzaher:
Uncovering Cross-Domain Recommendation Ability of Large Language Models. 2736-2743 - Sravani Pati, Vamsi Krishna Pasam, Carlos Toxtli Hernandez:
Customer Journey Mapping with Multimodal Large Language Models. 2744-2748 - Shiv Shankar, Ritwik Sinha, Madalina Fiterau:
Combining A/A Data and LLMs for Improved Content Evaluation. 2749-2753 - Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, Vimal K. Viswanathan:
Domain-Specific Aspect Extraction for Product Design. 2754-2763 - Edward Sun:
Enhancing Product Search Interfaces with Sketch-Guided Diffusion and Language Agents. 2764-2768
TSWW '25
- Ángel Pavón Pérez, Miriam Fernández, Tracie Farrell, Debora Nozza, Christine de Kock:
Foreword: Towards a Safer Web for Women - First International Workshop on Protecting Women Online. 2769-2771 - Yimin Chen, Dana McKay, Kate Anderson, Ronny Andrade:
Inclusive and Accessible Bystander Interventions for Technology Facilitated Sexual Violence. 2772-2775 - Müge Finkel, Dhanaraj Thakur, Steven Finkel, Firat Durusan, Erdem Yörük, Isik Topçu, Melih Can Yardi, Amanda Zaner, Jungmin Han:
Intersectional Hatred - An Application of Large Language Models to Detect Hate and Offensive Speech Targeted at Congressional Candidates in the 2024 U.S. Election. 2776-2781 - Lorraine Hayman:
Perspectives from Ireland: The Psychological Harms of Cyber-Located Sexual Violence. 2782-2790 - Dahlia Jovic, Ren Galwey, Lucy A. Sparrow, Mahli-Ann R. Butt, Yige Song, Sable Wang-Wills, Eduardo A. Oliveira:
The AI Ally Project: Designing a Human-Centred AI Tool for Women's Safety in Online Spaces. 2791-2795 - Luana Mathias Souto, Jörg Müller:
Legal and Ethical Challenges of Femtech: Protecting Women's Data & Rights in the Age of Surveillance Capitalism. 2796-2798
Demo Papers
- Adel Aly, Olivier Pivert, Virginie Thion:
Maelis4Skrid: An Approximate Query Engine for an Online Graph-Based Musical Score Library. 2799-2802 - Yingzhe Bao, Danfeng Sun, Junhui Liu, Jin Fan, Huifeng Wu:
A Cloud-Based High-Quality Code Intelligent Matching Tool for Industrial Control Programs. 2803-2806 - Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao:
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. 2807-2810 - Xinzhang Chen, Arash Shaghaghi, Jesse Laeuchli, Salil S. Kanhere:
BeyondLife: Third-Party Digital Will Application. 2811-2814 - Yung-Cheng Chuang, Ruihong Qiu:
Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs. 2815-2818 - Rebecca Dew, Mingzhao Li, Weidong Liu, Sandya Baratha Raj:
Developing a Comprehensive Task Framework for Effective Workforce Analysis. 2819-2822 - Aleksandr Farseev, Sergey I. Nikolenko, Qi Yang, Kirill Lepikhin, Da-Min You, Yu-Yi Chu-Farseeva, Ilia Gossoudarev, Marlo Ongpin:
SOEX: Explainable AI for Competitor Communications Analytics. 2823-2826 - Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia, Bianca Lau, Sina Adham-Khiabani, Eric Morris, Xia Liu, Ganga Chinna Rao Devarapu, Liam O'Faolain:
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion. 2827-2830 - Johannes Frey, Lucas Ferraz, Marvin Hofer:
POTS - A Polyparadigmatic Ontology Term Search with Fine-Grained Context Steering using Hyper-Level Vector Spaces. 2831-2834 - Tomoki Fukuma, Koki Noda, Toshihide Ubukata, Kousuke Hosoi, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Fujio Toriumi:
Graph-based Key Opinion Analyzer: Multifaceted Evaluation of Critical Opinions and Omission Detection in Summarization. 2835-2838 - Songyue Guo, Maocheng Li, Zhao Chen, Caleb Chen Cao, Lei Chen:
FQora: Towards Fair and Quality-based Online Data Marketplace. 2839-2842 - Daomin Ji, Hui Luo, Zhifeng Bao, Shazia Sadiq, J. Shane Culpepper:
Let the Augmentation Path Speak. 2843-2846 - Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, Flora Salim:
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation. 2847-2850 - Minjune Kim, Jeff Wang, Kristen Moore, Diksha Goel, Derui Wang, Ahmad Mohsin, Ahmed Ibrahim, Robin Doss, Seyit Camtepe, Helge Janicke:
CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders. 2851-2854 - Dexin Kong, Xu Yan, Ming Chen, Shuguang Han, Jufeng Chen, Fei Huang:
FishBargain: An LLM-Empowered Bargaining Agent for Online Fleamarket Platform Sellers. 2855-2858 - Param Kulkarni, Yingchi Liu, Hao-Ming Fu, Shaohua Yang, Isuru Gunasekara, Matt Peloquin, Noah Spitzer-Williams, Xiaotian Zhou, Xiaozhong Liu, Zhengping Ji, Yasser Ibrahim:
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach. 2859-2862 - Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi:
PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection. 2863-2866 - Zhao Li, Yangbohan Jiao, Yuduo Shi, Donghui Ding, Jiacheng Wang, Jiarun Zhang, Haitao Xu:
RideSmart: Pre-trained Large Models for Delivery Route Planning. 2867-2870 - Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen:
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. 2871-2874 - Daniel M. McFadyen, Md. Redowan Mahmud, Mahbuba Afrin, Sajib Mistry, Aneesh Krishna:
Personalised News Summarisation Using Demographic-aware BART Model. 2875-2878 - Vaishnav Muralidharan, Ho Cheng En Bryan, Tan Wee Kian Justin, Muhammad Reyaaz, Suzanna Sia:
EFF BI: Effortless Business Intelligence -Text-to-Vis from LLM Agents. 2879-2882 - Xueping Peng, Peng Yan, Tao Shen, Ming Xie, Guodong Long:
MedShort: Medicine Shortage Detection on Social Media with Privacy Preservation. 2883-2886 - Yang Qiu, Yinan Zhang, Hongyu Zhou, Bo Huang, Zhiqi Shen:
GreenBites: A Real-Time Diet Assistant for Sustainable Health and Eco-Friendly Living. 2887-2890 - Hirad Baradaran Rezaei, Fethi Rabhi, Amin Beheshti:
PipeMind: Toward a Multi-Agent Framework for Real-Time Feedback and Continuous Optimization in Analytics Pipelines. 2891-2894 - Luca Rossetto, Cristina Sarasua, Oana Inel, Juan Diego Bermeo, Pablo Sebastian Bolaños, Hugues Devimeux, Huiran Duan, Robin Hany, Athina Kyriakou, Dhivyabharathi Ramasamy, Varun Ghat Ravikumar, Konstantina Timoleon, Rosni Vasu, Ruijie Wang, Daan van der Weijden, Jan Willi, Abraham Bernstein:
Alan's Speakeasy - An Ecosystem for the Evaluation of Conversational Agents. 2895-2898 - Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng:
Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. 2899-2902 - Vivek Sharma, Mohammad Mahdi Shokri, Shweta Jain, Sarah Ita Levitan, Elena Filatova:
Propasafe: A BERT-based Offline Tool for Propaganda Detection. 2903-2906 - Yuduo Shi, Zhao Li, Xuming Pan, Yaoling Chen, Bo Zhou, Haitao Xu, Wenrui Ma, Yuchen Li, Shichang Hu:
PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance. 2907-2910 - Tao Tan, Quan Tu, Songhao Wu, Hongda Sun, Chuanqi Cheng, Weikai Xu, Rui Yan:
Luoling: An Immersive Cross-Modal Interactive Poem Creation Factory through Multi-Agent Collaboration. 2911-2914 - Geng Tu, Bingbing Wang, Erik Cambria, Wenjie Li, Ruifeng Xu:
SupportPlay: A Multi-Agent Role-Playing System for Personalized and Sustained Multimodal Emotional Support Conversation. 2915-2918 - Ludi Wang, Dongze Song, Qiang Cui, Xueqing Chen, Yuanchun Zhou, Wenjuan Cui, Yi Du:
AutoDive+: An Adaptive Model Enhanced Multimodal Online Annotation Tool. 2919-2922 - Junfeng Wu, Jing He, Hai Liu, Zhaoqi Zheng, Yichen Cao, Xingguo Chen, Bingjie Zou, Ruiping Zou, Guohua Zhou, David Sturgess, André Van Zundert:
From Literature to Lab: Hardware-Independent Autonomous Chemical Synthesis with Reinforcement Learning. 2923-2926 - Yutao Wu, Kun Ran, Ming Liu, Adam P. A. Cardilini, Arif Nurwidyantoro, Xiao Liu:
CLEAR: Climate Policy Retrieval and Summarization Using LLMs. 2927-2930 - Ran Xu, Wenqi Shi, Jonathan Wang, Jasmine Zhou, Carl Yang:
MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. 2931-2934 - Rujing Yao, Yiquan Wu, Tong Zhang, Xuhui Zhang, Yuting Huang, Yang Wu, Jiayin Yang, Changlong Sun, Fang Wang, Xiaozhong Liu:
Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering. 2935-2938 - Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq:
BiasNavi: LLM-Empowered Data Bias Management. 2939-2942 - Arun George Zachariah, Varun Praveen, Samuel Ochoa, Parthasarathy Sriram:
Multi-Model Workflows for Advanced Visual Understanding. 2943-2946 - Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen:
Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences. 2947-2950 - Yifan Zhang, Xinkui Zhao, Zuxin Wang, Zhengyi Zhou, Guanjie Cheng, Shuiguang Deng, Jianwei Yin:
SortingHat: Redefining Operating Systems Education with a Tailored Digital Teaching Assistant. 2951-2954 - Xiangmin Zhou, Lei Chen, Chengkun He, Junfeng Wu, Weiyi Zhou, Jie Shao, Yanchun Zhang:
A Responsible and Extendable Context-Aware Recommender System. 2955-2958 - Zihan Zhu, Qiongkai Xu, Amin Beheshti:
HEAL: Healthcare Emergency Assistants Leveraging Large Language Models. 2959-2962
AgentSociety Challenge Track
- Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li:
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms. 2963-2967 - Xiao Ao, Shuxi Han, Yeming Li, Heli Ma, Pengfei Zhang, Jie Zou:
Retrieval Augmented Multi-agent Recommender. 2968-2972 - Junhui Luo, Li Song, Ranrun Sun:
EvolutionAgent: A Large Model-Based Framework for User Behavior Modeling and Self-Evolving Intelligent Agents. 2973-2977 - Zijing Wu, Leheng Sheng, Yuanlin Xia, Yi Zhang, Yuxin Chen, An Zhang:
Personalized Recommendation Agents with Self-Consistency. 2978-2982 - Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang:
Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation. 2983-2987 - Xinyu Zhang, Ran Dou, Enrui Hu, Minjun Zhao, Yangkai Ding, Zhicheng Dou:
Collaborative Optimization Approach for Workflow Agents in User Behavior Modeling. 2988-2992 - Renhuo Zhao, Hailong Yang, Mingxian Gu, Jianqi Wang, Wu Long, Zhaohong Deng:
USHB: A Unified Framework for Simulating Human Behaviors in Agent Society through User-and-Item Modeling: Unified Framework for Simulating Human Behaviors. 2993-2997 - Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen:
Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. 2998-3002
SmartMem Challenge Track
- Min Zhou, Hongyi Xie, Qiao Yu, Jialiang Yu, Zhenli Sheng:
SmartMem: Memory Failure Prediction Challenge at WWW 2025. 3003-3007 - Junwen Liu, Haikuan Huang, Gang Huang, Shuang Ge, Jinlian Hu:
Multimodal Intent Recognition in E-Commerce: Challenges, Innovations, and Lightweight Solutions. 3008-3011
Brick-by-Brick Challenge Track
- Jun Hao Chan:
BrickMIR: A Minimal, Imbalance-tuned, and Ratio-based Framework for Brick Metadata Classification. 3012-3015 - Kaushik Gopalan, Prithvi Dhyani, Arunima Srikant:
A Simple Feature Extraction based Approach to Solving the Brick by Brick 2024 Challenge. 3016-3020 - Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim:
Brick-by-Brick: Cyber-Physical Building Data Classification Challenge. 3021-3025 - Chengfeng Qiu, Jiahui Zhou, Yongfeng Liao, Zhengliang Cui, Dan Li:
A Unified CatBoost Framework for IoT Data Classification Using Multi-Level Feature Extraction. 3026-3029 - Bram Steenwinckel, Sofie Van Hoecke, Femke Ongenae:
Another Brick in the Wall: Leveraging Feature Extraction and Ensemble Learning for Building Data Classification. 3030-3034 - Meilan Xu, Zheng Wen, Xiuqing Xiang, Wenjie Fu, Bing Wang:
Winning Brick by Brick with Daily Slices: A 94-Task Unified XGBoost Solution for Brick Schema Classification. 3035-3038 - Haokai Zhao, Jonas Macken, Leo Dinendra, Yaqing He, Ruiyuan Yang:
Hierarchical Multi-Label Classification of Building Management System Time-Series Data. 3039-3043
MDSIRC Challenge Track
- Bin Chen, Yu Zhang, Hongfei Ye, Yizi Huang, Hongyang Chen:
Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition. 3044-3048 - Tianhong Gao, Genhang Shen, Yuxuan Wu, Zunlei Feng, Jinshan Zhang, Sheng Zhou:
EcomMIR: Towards Intelligent Multimodal Intent Recognition in E-Commerce Dialogue Systems. 3049-3052 - Yilun Jin, Chunqi Wu, Ying Zhang, Chenlong Shi, Zhao Li, Wei Yin, Xuming Pan:
IntentionGPT: Boosting E-commerce User Intent Recognition with Self-data Augmentation and Structure-aware Retrieval. 3053-3057 - Zhipeng Li, Binglin Wu, Yingyi Zhang, Xianneng Li, Kai Li, Weizhi Chen:
CuSMer: Multimodal Intent Recognition in Customer Service via Data Augment and LLM Merge. 3058-3062 - Jinwang Song, Zhongtian Hua, Hongying Zan, Yingjie Han, Min Peng:
Optimizing Discriminative Vision-Language Models for Efficient Multimodal Intent Recognition. 3063-3067
Emerging World Track
- Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia:
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. 3068-3071 - Dang Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xu, Qiang Wu, Dung D. Le:
Enhancing News Recommendation with Hierarchical LLM Prompting. 3072-3075 - Tan-Minh Nguyen, Thi-Hai-Yen Vuong, Hoang-Trung Nguyen, Le-Minh Nguyen, Xuan-Hieu Phan:
A Co-Attentive Infusion of Structural Knowledge into Language Models towards Legal Textual Inference. 3076-3079 - Xingyuan Lu, Yuxi Liu, Dongyu Zhang, Zhiyao Wu, Jing Ren, Feng Xia:
EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors. 3080-3083 - Quoc-An Nguyen, Xuan-Hung Le, Thi-Minh-Thu Vu, Hoang-Quynh Le:
CiteArXiv: A Citation-enriched Dataset and Heterogeneous Graph-based Model for Scientific Articles Summarization. 3084-3087 - Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le:
Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation. 3088-3091 - Shima Esfandiari:
A Multi-Attribute Model to Identify Influential Nodes in Complex Networks: Addressing the K-Shell Limitations. 3092-3095
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