| 2026 | Patent Representation Learning via Self-supervision. | You Zuo, Kim Gerdes, ric de la Clergerie, Benot Sagot |
| 2026 | As We May Search. | Saber Zerhoudi, Adam Roegiest, Jelena Mitrovic, Michael Granitzer |
| 2026 | Prior-Data Fitted Networks as Tabular Foundation Models for Ranking in Low-Data Settings. | David Vos, Samarth Bhargav, Maarten de Rijke, Harrie Oosterhuis |
| 2026 | Search Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses. | Sahel Sharifymoghaddam, Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Jimmy Lin |
| 2026 | A Design Science Framework for Human-Agent Teams in Information Retrieval. | Chirag Shah, Lynda Tamine, Mouly Dewan |
| 2026 | Effectiveness of Sparse Retrieval for Automated Fact-Checking. | Ritvik Setty, Vinay Setty |
| 2026 | Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets. | Dominykas Seputis, Alexander Timans, Rajeev Verma |
| 2026 | Proposing an Evaluation Framework for Legal Case Retrieval Beyond Binary Relevance: A Bibliographic Coupling Approach. | Atsuhito Sekiguchi, Masaharu Yoshioka, Calum Kwan |
| 2026 | MedQueryIntent: A Large-Scale Benchmark Dataset for Medical Search Intent Classification. | Samantha Schnell, Supriya Kottam, Yingcheng Sun |
| 2026 | Model Merging as an Alternative to Fine-Tuning on Combined Data for a Multi-Domain Dense Retriever. | Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita |
| 2026 | Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage. | Saron Samuel, Alexander Martin, Eugene Yang, Andrew Yates, Dawn Lawrie, Ian Soboroff, Laura Dietz, Benjamin Van Durme |
| 2026 | Plan-and-Refine in RAG: Generating Diverse and Comprehensive Responses through Global Exploration and Local Exploitation. | Alireza Salemi, Chris Samarinas, Hamed Zamani |
| 2026 | Interpretable Legal Similarity: From Embeddings to Obligations. | Adam Roegiest, Johanne R. Trippas |
| 2026 | Stability in Competitive Search with Results Diversification. | Itamar Reinman, Omer Madmon, Moshe Tennenholtz, Oren Kurland |
| 2026 | RAAD: Retrieval-Augmented Ambiguity Detection via Answer Diversity. | Parth Patel, Sarah Kamoun, Bita Azad, Faezeh Ensan |
| 2026 | Relaxed Term Matching for Neural Axiomatic Diagnostics. | Andrew Parry, Maik Frbe, Martin Potthast, Sean MacAvaney, Benno Stein, Matthias Hagen, Debasis Ganguly |
| 2026 | Exposure-Based Reinforcement Learning to Rank. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2026 | DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation. | Bryan Li, William Gantt Walden, Yu Hou, Gabrielle Kaili-May Liu, Dawn J. Lawrie, James Mayfield, Eugene Yang, Chris Callison-Burch, Laura Dietz |
| 2026 | RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways. | Dairui Liu, Zhongyi Lu, Roger Zhe Li, Changhong Jin, Jitao Lu, Xinyang Shao, Bichen Shi, Mete Sertkan, Aghiles Salah, Aonghus Lawlor, Barry Smyth, Tri Kurniawan Wijaya, Ruihai Dong, Xingsheng Guo |
| 2026 | RIDRec: Retrieval-Enhanced Intent Diffusion for Anonymous Short-Session Recommendation. | Peilin Liu, Zhiquan Ji, Gang Yan |
| 2026 | RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation. | Juhyeon Lee, Wonduk Seo, Junseo Koh, Seunghyun Lee, Haihua Chen, Yi Bu |
| 2026 | A Comprehensive Taxonomy of Temporal Dimensions in Natural Language Queries. | Ivano Lauriola |
| 2026 | Untitled record | Arif Laksito, Aali Alqarni, Mark Stevenson |
| 2026 | Analysis of Reasoning-Intensive Retrieval in Japanese. | Hiroki Kurokawa, Hirotaka Kameko, Shinsuke Mori |
| 2026 | RecQuest: Towards Estimating User Domain Knowledge in Conversational Recommender Systems. | Ivica Kostric, Ujwal Gadiraju, Krisztian Balog |