| 2026 | How Do LLMs Cite? - A Mechanistic Interpretation of Attribution in RAG. | Ian van Dort, Maria Heuss |
| 2026 | Multi-Step Semantic Reasoning in Generative Retrieval. | Steven Dong, Yubao Tang, Maarten de Rijke |
| 2026 | MedNuggetizer: Confidence-Based Information Nugget Extraction from Medical Documents. | Gregor Donabauer, Samy Ateia, Udo Kruschwitz, Maximilian Burger, Matthias May, Christian Gilfrich, Maximilian Haas, Julio Ruben Rodas Garzaro, Christoph Eckl |
| 2026 | LectureChat: Hybrid RAG over Wikipedia and Multilingual Lecture Videos. | Markos Dimitsas, Jochen L. Leidner |
| 2026 | Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets? | Laura Dietz, Bryan Li, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield |
| 2026 | Incorporating Q&A Nuggets Into Retrieval-Augmented Generation. | Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield |
| 2026 | Temporal Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN. | Ritajit Dey, Iadh Ounis, Graham McDonald, Yashar Moshfeghi |
| 2026 | Post-training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation. | Ervin Dervishaj, Maria Maistro, Tuukka Ruotsalo, Christina Lioma |
| 2026 | Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias. | Mahdi Dehghan, Graham McDonald |
| 2026 | Cultural Analytics for Good: Building Inclusive Evaluation Frameworks for Historical IR. | Suchana Datta, Dwaipayan Roy, Derek Greene, Gerardine Meaney, Karen Wade, Philipp Mayr |
| 2026 | ExpertMix: Aspect and Severity Detection in Conversational Complaints. | Sarmistha Das, Apoorva Singh, Rishu Kumar Singh, Navneet Shreya, Sriparna Saha |
| 2026 | FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG. | Maxime Dassen, Rebecca Kotula, Kenton Murray, Andrew Yates, Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Kevin Duh |
| 2026 | Enhancing Code Generation Through Reliability-Aware Synthetic Contexts. | Susmita Das |
| 2026 | Bias in Book Recommendation: A Case Study on the Danish Public Libraries. | Savvina Daniil, Sren Hjlund Mollerup, Laura Hollink |
| 2026 | Iterative Reranking as a Compute-Scaling Method for LLM-Based Rankers. | Tamara Czinczoll, Dong Liu, Filippo Betello |
| 2026 | LIR: The First Workshop on Late Interaction and Multi Vector Retrieval @ ECIR 2026. | Benjamin Clavi, Xianming Li, Antoine Chaffin, Omar Khattab, Tom Aarsen, Manuel Faysse, Jing Li |
| 2026 | Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety. | Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa |
| 2026 | The First Workshop on Information Retrieval for Accountability and Integrity (IRAI). | Chung-Chi Chen, Juyeon Kang, Anas Lhuissier, Dittaya Wanvarie, Min-Yuh Day, Hiroya Takamura, Yohei Seki |
| 2026 | Tutorial on Mechanistic Interpretability. | Catherine Chen, Maria Heuss, Carsten Eickhoff |
| 2026 | Query Text and Embedding Ambiguity Correction and Optimisation. | Andreas Chari |
| 2026 | LURE-RAG: Lightweight Utility-Driven Reranking for Efficient RAG. | Manish Chandra, Debasis Ganguly, Iadh Ounis |
| 2026 | Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction. | Debashish Chakraborty, Eugene Yang, Daniel Khashabi, Dawn J. Lawrie, Kevin Duh |
| 2026 | Query Performance Prediction Using a Child-Focused Definition of Relevance. | Hrishita Chakrabarti, Maria Soledad Pera |
| 2026 | Filtering Few-Level Segment Regions for Efficient Subsequence Search in 3D Human Motions. | Andrej Cernek, Jan Sedmidubsk |
| 2026 | The Third International Workshop on Open Web Search (WOWS). | Laura Caspari, Maik Frbe, Sebastian Heineking, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries, Saber Zerhoudi |