| 2026 | ECIR | Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation. | Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, Aldo Lipani |
| 2026 | ICTIR | Entity Labels Are Not Entity Signals: A Framework for Observable Relevance in Document Re-Ranking. | Utshab Kumar Ghosh, Shubham Chatterjee |
| 2026 | SIGIR | Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions. | Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee |
| 2025 | CIKM | ProActLLM: Proactive Conversational Information Seeking with Large Language Models. | Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth J. F. Jones, Emine Yilmaz, Hamed Zamani |
| 2025 | SIGIR | QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking. | Shubham Chatterjee, Jeff Dalton |
| 2025 | SISAP | On the Theoretical Advantages of Bilinear Similarities in Dense Retrieval. | Shubham Chatterjee |
| 2024 | ECIR | DREQ: Document Re-ranking Using Entity-Based Query Understanding. | Shubham Chatterjee, Iain Mackie, Jeff Dalton |
| 2024 | EMNLP | DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. | Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates |
| 2024 | SIGIR | TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants. | Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, Leif Azzopardi |
| 2024 | SIGIR | Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search. | Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton, Faegheh Hasibi |
| 2023 | ECIR | ECIR 23 Tutorial: Neuro-Symbolic Approaches for Information Retrieval. | Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Edgar Meij, Arjen P. de Vries |
| 2023 | SIGIR | Neuro-Symbolic Representations for Information Retrieval. | Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeffrey Dalton, Jian-Yun Nie, Rodrigo Nogueira |
| 2023 | SIGIR | Generative Relevance Feedback with Large Language Models. | Iain Mackie, Shubham Chatterjee, Jeffrey Dalton |
| 2022 | CIKM | Predicting Guiding Entities for Entity Aspect Linking. | Shubham Chatterjee, Laura Dietz |
| 2022 | ECIR | An Entity-Oriented Approach for Answering Topical Information Needs. | Shubham Chatterjee |
| 2022 | SIGIR | BERT-ER: Query-specific BERT Entity Representations for Entity Ranking. | Shubham Chatterjee, Laura Dietz |
| 2022 | SIGIR | Wikimarks: Harvesting Relevance Benchmarks from Wikipedia. | Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza, Ben Gamari |
| 2021 | SIGIR | Entity Retrieval Using Fine-Grained Entity Aspects. | Shubham Chatterjee, Laura Dietz |
| 2019 | ICTIR | Why does this Entity matter?: Support Passage Retrieval for Entity Retrieval. | Shubham Chatterjee, Laura Dietz |
| 2017 | CIT | A Study of the Genetic Algorithm Parameters for Solving Multi-objective Travelling Salesman Problem. | Romit S. Beed, Sunita Sarkar, Arindam Roy, Shubham Chatterjee |