| 2026 | Federated Watermarking of Deep Neural Networks with Distributed Verification. | Sheng-Po Tseng, Lo-Yao Yeh, Hui-Ju Hung, Chih-Ya Shen |
| 2026 | MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression. | Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen |
| 2026 | Precision vs. Discovery: An Adaptive Agent Navigating the Cold-Start Trade-off. | Vedant Thakkar |
| 2026 | Explaining the 'Unexplainable' Large Language Models. | Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu |
| 2026 | Diversification as Risk Minimization. | Rikiya Takehi, Fernando Diaz, Tetsuya Sakai |
| 2026 | Third Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2026 | WEB&GRAPH 2026 Workshop Report: Workshop on Web & Graphs, Responsible Intelligence, and Social Media. | Matteo Spezialetti, Andrea D'Angelo, Francesca Ciccarelli, Giuseppe Costanzo, Daniele Fossem, Filippo Mignosi |
| 2026 | WEB&GRAPH 2026: Workshop on Web & Graphs, Responsible Intelligence, and Social Media. | Matteo Spezialetti, Andrea D'Angelo, Francesca Ciccarelli, Giuseppe Costanzo, Daniele Fossem, Filippo Mignosi |
| 2026 | Aligning Extraction and Generation for Robust Retrieval-Augmented Generation. | Hwanjun Song, Jeonghwan Choi, Minseok Kim |
| 2026 | Selective LLM-Guided Regularization for Enhancing Recommendation Models. | Zhan Shi, Shanglin Yang |
| 2026 | Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance. | Wonhyung Shin, Jong-June Jeon |
| 2026 | Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks. | Devesh Sharma, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra, Jasabanta Patro |
| 2026 | Self-Paced Fair Ranking with Loss as a Proxy for Bias. | Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | Image-Guided Debiasing Distillation with Preference Alignment Across Multi-News Histories. | Jimyeung Seo, Eun-Yeong Jo, Hye-Yoon Baek, Dongcheon Lee, Xiongnan Jin, Byungkook Oh |
| 2026 | A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry. | Wonduk Seo, Hyunjin An, Seunghyun Lee |
| 2026 | InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking. | Rahul Seetharaman, Aman Bansal, Kaustubh D. Dhole |
| 2026 | Workshop Series: Ethics and Inclusive Collaboration. | Marcel Schack, Leonie Thieme, Tereza Iofciu |
| 2026 | Multi-view Graph Condensation via Tensor Decomposition. | Ncolas Roque dos Santos, Dawon Ahn, Diego Minatel, Alneu de Andrade Lopes, Evangelos E. Papalexakis |
| 2026 | Risk-Aware Utility Re-Ranking for Financial Asset Recommendation. | Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa |
| 2026 | Credibility Drift Attacks: LLM Crafted Adversarial Manipulations That Flip News Believability. | Mostofa Najmus Sakib, Francesca Spezzano |
| 2026 | From Perception to Share: Understanding Misinformation Through User Believability and Linguistic Ambivalence. | Mostofa Najmus Sakib |
| 2026 | Knowledge Homophily in Large Language Models. | Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang |
| 2026 | Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networks. | Shubhajit Roy, Shrutimoy Das, Binita Maity, Anant Kumar, Anirban Dasgupta |
| 2026 | Pre-training Language Model for Friend Recommendation: A Case Study of Large Social Graph. | Bin Ren, Wei Sun, Shuqi Feng, Yunzhong He, Jun Xiao |
| 2026 | Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection. | Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |