| 2026 | A Dataset of Cultural Heritage Manipulation on English Wikipedia in the Russo-Ukrainian Context. | Maxime Garambois, Hamest Tamrazyan, Emanuela Boros |
| 2026 | Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines. | Chen Gao, Zixin Zhao, Lv Shao, Tong Liu |
| 2026 | C | Yunfan Gao, Xinyi Huang, Yijie Zhong, Zhidong Fan, Zhengke Gui, Lei Liang, Yun Xiong, Haofen Wang |
| 2026 | Factorized Latent Reasoning for LLM-based Recommendation. | Tianqi Gao, Chengkai Huang, Zihan Wang, Cao Liu, Ke Zeng, Lina Yao |
| 2026 | TM-Bench: Benchmarking Large Language Models on Low-Resource Traditional Mongolian. | Zhenjie Gao, Feilong Bao, Aruukhan Bai, Ruichen Hou, Xieqi Ji, Dabalgan Wang, Hugjil Ming, Yuan Li |
| 2026 | Agentic Query Reformulation for Contextualized Hyper-Personalized Product Search. | Raghav Gaggar, Sean D. Rosario, Daniel Varivoda, Shahriar Golchin, Jayant Sachdev, Ali Lafzi, Siddharth Pratap Singh, Jason Cho, Yog Domlur, Swati Kirti, Chittaranjan Tripathy |
| 2026 | Beyond Top-e: Simulation-Based Interactive Evaluation for Query Suggestions. | Jorge Gabn, Javier Parapar, Xi Wang |
| 2026 | Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG. | Jorge Gabn, Anxo Prez, Javier Parapar |
| 2026 | NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models. | Haruki Fujimaki, Makoto P. Kato |
| 2026 | Differentiable Semantic ID for Generative Recommendation. | Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, Zhaochun Ren |
| 2026 | ReNeuIR at SIGIR 2026: The Fifth Workshop on Reaching Efficiency in Neural Information Retrieval. | Maik Frbe, Tim Hagen, Franco Maria Nardini, Martin Potthast |
| 2026 | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank. | Stan Fris, Philipp Hager |
| 2026 | Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory. | Saman Forouzandeh, Kamal Berahmand, Mahdi Jalili |
| 2026 | Confidence-Based Stopping Methods for Systematic Reviews. | Aaron H. A. Fletcher, Mark Stevenson |
| 2026 | Decision-Theoretic Stopping Rules for Document Screening. | Aaron H. A. Fletcher, Mark Stevenson |
| 2026 | Faithful LLM-Assisted Question Answering for Technical and Academic Search. | Juan Luis Filgueiras |
| 2026 | How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation. | Chase M. Fensore, Kaustubh D. Dhole, Jason Fan, Eugene Agichtein, Joyce C. Ho |
| 2026 | Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems. | Zhijian Feng, Wenhao Zheng, Xuanji Xiao |
| 2026 | Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation. | Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu |
| 2026 | LLM-Informed Bayesian Content Exploration in Ultra-Recency Recommendation. | Qing Feng, Ivan Ji, Yiting Hua, Shujian Bu |
| 2026 | Privacy Preserving Information Retrieval: Defining Privacy Research Pillars for a Future Research Agenda. | Francesco Luigi De Faveri, Guglielmo Faggioli, Asia J. Biega, Nicola Ferro |
| 2026 | Auto-Judge: A Cross-Task Benchmark for Comparing LLM Judges for Citation-Grounded RAG Systems. | Naghmeh Farzi, Tim Hagen, Eugene Yang, Maik Frbe, Ronak Pradeep, Hossein A. Rahmani, Xi Wang, Oleg Zendel, Martin Potthast, Laura Dietz |
| 2026 | Learning to Rank with Multi-Criteria LLM-Judge Annotations. | Naghmeh Farzi, Laura Dietz |
| 2026 | SOMIN: Agentic AI for Automating Professional Visibility and Countering Content Homogenization. | Aleksandr Farseev, Kirill Lepikhin, Kevin Manuel, Maksim Gorodilov, Zhao Kui, Ilya Makarov, Jaime Francisco Maldonado, Ian Cassidy, Ronan Byrne |
| 2026 | Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation. | Ge Fan, Nan Zhao, Kai Meng, Cong Luo, Yang Fu, Huiping Chu, Jialin Liu, Yuning Jiang, Bo Zheng |