| 2025 | Criteria-Based LLM Relevance Judgments. | Naghmeh Farzi, Laura Dietz |
| 2025 | Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. | Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand |
| 2025 | Exploring the Utility of Embedding Similarity for Contract Tasks. | Jonathan Donnelly, Adam Roegiest |
| 2025 | Principles and Guidelines for the Use of LLM Judges. | Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, Nick Craswell |
| 2025 | Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. | Giulio D'Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto |
| 2025 | The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers. | Xingyu Deng, Xi Wang, Mark Stevenson |
| 2025 | Preaching to the ChoIR: Lessons IR Should Share with AI. | Gianluca Demartini, Claudia Hauff, Matthew Lease, Stefano Mizzaro, Kevin Roitero, Mark Sanderson, Falk Scholer, Chirag Shah, Damiano Spina, Paul Thomas, Arjen P. de Vries, Guido Zuccon |
| 2025 | JointRank: Rank Large Set with Single Pass. | Evgeny Dedov |
| 2025 | Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval. | Tanya Chowdhury, Atharva Nijasure, James Allan |
| 2025 | QPP-RA: Aggregating Large Language Model Rankings. | Filippo Betello, Matteo Russo, Paul Dtting, Stefano Leonardi, Fabrizio Silvestri |
| 2025 | Impersonating the Crowd: Evaluating LLMs' Ability to Replicate Human Judgment in Misinformation Assessment. | David La Barbera, Riccardo Lunardi, Mengdie Zhuang, Kevin Roitero |
| 2025 | Expert Finding Revisited: A Uniform Exploration of Methods. | Marjan Azimi, Alistair Moffat, Justin Zobel |
| 2025 | Retrieving Under Uncertainty: Towards a Chatbot Uncertainty Taxonomy (CUT) for Information Retrieval. | Alina Asisof |
| 2025 | Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization. | Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah |
| 2025 | Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic Embeddings. | Bryan Amador, Richard Zanibbi |
| 2025 | Demographically-Inspired Query Variants Using an LLM. | Marwah Alaofi, Nicola Ferro, Paul Thomas, Falk Scholer, Mark Sanderson |
| 2025 | Modelling and Predicting User Actions in Conversational Information Retrieval. | Xiao Fu, Aldo Lipani, Noriko Kando |
| 2025 | Normalized Set-Level Ideal DCG: A More Reliable Early-Stage Retrieval Metric. | Xiao Fu, Navdeep Singh Bedi, Fabio Crestani, Aldo Lipani |
| 2025 | Towards Two-Stage Counterfactual Learning to Rank. | Shashank Gupta, Yiming Liao, Maarten de Rijke |
| 2024 | On Adaptive Knowledge Distillation with Generalized KL-Divergence Loss for Ranking Model Refinement. | Yingrui Yang, Shanxiu He, Tao Yang |
| 2024 | CFE2: Counterfactual Editing for Search Result Explanation. | Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes |
| 2024 | Towards Group-aware Search Success. | Haolun Wu, Bhaskar Mitra, Nick Craswell |
| 2024 | Capturing the Spectrum of Social Media Conflict: A Novel Multi-objective Classification Model. | Oliver Warke, Joemon M. Jose, Jan Breitsohl, Jie Wang |
| 2024 | Coherence-based Query Performance Measures for Dense Retrieval. | Maria Vlachou, Craig Macdonald |
| 2024 | Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders. | Mathias Vast, Basile Van Cooten, Laure Soulier, Benjamin Piwowarski |