| 2026 | XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation. | Youssef Mohamed, Mohamed Elhoseiny, Thibault Formal, Nadezhda Chirkova |
| 2026 | Reducing Human Effort to Validate LLM Relevance Judgements via Stratified Sampling. | Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro |
| 2026 | An Open SERP Mining Infrastructure for the Archive Query Log. | Jan Heinrich Merker, Simon Ruth, Harrisen Scells, Martin Potthast |
| 2026 | RecRankerEval: A Reproducible Framework for Deploying and Evaluating LLM-Based Top-k Recommenders. | Zeyuan Meng, Zixuan Yi, Iadh Ounis |
| 2026 | Knowledge-Enhanced Multi-agent for LLM-Based Recommendation. | Zeyuan Meng, Zixuan Yi, Iadh Ounis |
| 2026 | Conversational Search: Foundations, Large Language Models, and Agents. | Chuan Meng, Fengran Mo, Mohammad Aliannejadi, Jeff Dalton, Jian-Yun Nie |
| 2026 | Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio. | Niall McGuire, Yashar Moshfeghi |
| 2026 | How Information Retrieval Systems Construct and Amplify Immigration Narratives. | Zarif Masud, Abhijit Paul, Syed Ishtiaque Ahmed, Ebrahim Bagheri |
| 2026 | Multivector Reranking in the Era of Strong First-Stage Retrievers. | Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2026 | Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. | Watheq Mansour, J. Shane Culpepper, Joel Mackenzie, Andrew Yates |
| 2026 | Audio Retrieval: Challenges and Solutions. | Watheq Mansour |
| 2026 | Practical, Efficient, In-Memory Inverted Indexes. | Joel Mackenzie, Sean MacAvaney, Antonio Mallia, Michal Siedlaczek |
| 2026 | MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Retrieval and Invocation in LLM Agent Multi-turn Conversations. | Elias Lumer, Anmol Gulati, Vamse Kumar Subbiah, Pradeep Honaganahalli Basavaraju, James A. Burke |
| 2026 | Exploring User Simulators in Conversational Search: A Comparison Between LLMs and Humans. | Lili Lu, Fabio Crestani |
| 2026 | Simulating Specific Users in Conversational Search. | Lili Lu |
| 2026 | Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries. | Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang |
| 2026 | Pipeline Inspection, Visualization, and Interoperability in PyTerrier. | Emmanouil Georgios Lionis, Craig Macdonald, Sean MacAvaney |
| 2026 | To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval. | Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates |
| 2026 | Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking. | Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng |
| 2026 | SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval. | Ruyin Li, Xiaoyu Chen |
| 2026 | Understanding and Enhancing Robustness in Dense Information Retrieval. | Yongkang Li |
| 2026 | Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization. | Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang |
| 2026 | One LLM to Train Them All: Multi-task Learning Framework for Fact-Checking. | Malin Astrid Larsson, Harald Fosen Grunnaleite, Vinay Setty |
| 2026 | On the Viability of Exploiting Large Language Models for Misinformation Annotation. | Pablo Landrove, Marcos Fernndez-Pichel, David E. Losada |
| 2026 | Trust Me on This: A User Study of Trustworthiness for RAG Responses. | Weronika Lajewska, Krisztian Balog |