| 2026 | When More Reformulations Hurt: Avoiding Drift using Ranker Feedback. | Venktesh V, Mandeep Rathee, Avishek Anand |
| 2026 | Teaching Small Models When Not to Call Functions: Structured Reasoning for Tool Refusal in Low-Resource Languages. | Dung Pham Tuan Vo, Thai Trung Tran, Tushar Semwal |
| 2026 | SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits. | Anna Volodkevich, Dmitry Anikin, Danil Gusak, Anton Klenitskiy, Evgeny Frolov, Alexey Vasilev |
| 2026 | What Gets Cited: Competitive GEO in AI Answer Engines. | Rahul Vishwakarma, Shushant Kumar, Ratnesh Jamidar |
| 2026 | PeaCap: Patch-Level Retrieval for Lightweight Retrieval-Augmented Image Captioning. | Robin Viltoriano, Wei Emma Zhang, Hu Wang, Mong Yuan Sim, Yanjun Shu |
| 2026 | Clustering-Based Methods for Vector-Based Pseudo-Relevance Feedback. | Xavier Velez, Andrew Yates, Eugene Yang, Trevor Adriaanse, Sanjeev Khudanpur |
| 2026 | As It Was: Aligning LLM Search Evaluation with Historical User Preferences. | Ali Vardasbi, Gustavo Penha, Enrico Palumbo, Claudia Hauff, Hugues Bouchard, Mounia Lalmas |
| 2026 | Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research. | Julin Urbano |
| 2026 | Automating Generation of Long-Form Queries. | Shivani Upadhyay, Daniel Campos, Nandan Thakur, Ronak Pradeep, Nick Craswell, Jimmy Lin |
| 2026 | Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs. | Yiteng Tu, Weihang Su, Shuguang Han, Yiqun Liu, Qingyao Ai |
| 2026 | MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval. | Mehmet Deniz Trkmen, Suchana Datta, Dwaipayan Roy, Daniel Hienert, Philipp Mayr, Derek Greene |
| 2026 | A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations. | Geng Tu, Taiyu Niu, Xi Zeng, Ruifeng Xu, Min Zhang |
| 2026 | Analytical Search. | Yiteng Tu, Shuo Miao, Weihang Su, Yiqun Liu, Qingyao Ai |
| 2026 | Same Image, Different Meanings: Toward Retrieval of Context-Dependent Meanings. | Ayuto Tsutsumi, Ryosuke Kohita |
| 2026 | Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation. | Nhu-Thuat Tran, Hady W. Lauw |
| 2026 | CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models. | Armin Toroghi, Faeze Moradi Kalarde, Scott Sanner |
| 2026 | RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction. | Ziye Tong, Jiahao Liu, Weimin Zhang, Hongji Ruan, Derick Tang, Zhanpeng Zeng, Qinsong Zeng, Peng Zhang, Tun Lu, Ning Gu |
| 2026 | SECRET: SEarch query Classification with label RETrieval. | Anna Tigunova, Ghadir Eraisha, Ahmed Ragab |
| 2026 | Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models. | Yuxing Tian, Fengran Mo, Zhiqi Huang, Weixu Zhang, Jian-Yun Nie |
| 2026 | Evaluation Validity in Information Retrieval. | Paul Thomas, Nick Craswell, Mark Sanderson, Seth Spielman, Robert Sim, Ryen W. White |
| 2026 | CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation. | Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2026 | Building Foundations for Information Retrieval in Extremely Low-Resource Ethnic Languages: Evidence from Tanzania. | Joseph P. Telemala, Onesmo S. Nyinondi, Neema Nicodemus Lyimo, Baraka William Nyamtiga, Farian Severine Ishengoma, Wema L. Msigwa |
| 2026 | Deletion Isn't Enough: Auditing RAG for Selective Forgetting. | Leila Tavakoli, Mark Sanderson |
| 2026 | RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations. | En Zhi Tan, Jia Xiang Lim, Bryan Lijie Chew, Tze Minh Ng, Benjamin Yan Han Yap |
| 2026 | Cognitive Style Shapes Search Behaviours: An fNIRS Study of Exploratory Search. | Huimin Tang, Boon Giin Lee, Dave Towey, Max L. Wilson, Matthew Pike |