| 2026 | ECIR | LURE-RAG: Lightweight Utility-Driven Reranking for Efficient RAG. | Manish Chandra, Debasis Ganguly, Iadh Ounis |
| 2026 | ECIR | [inline-graphic not available: see fulltext] SuiteEval: Simplifying Retrieval Benchmarks. | Andrew Parry, Debasis Ganguly, Sean MacAvaney |
| 2026 | ECIR | Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework. | Payel Santra, Partha Basuchowdhuri, Debasis Ganguly |
| 2026 | ECIR | Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction. | Payel Santra, Partha Basuchowdhuri, Debasis Ganguly |
| 2026 | ECIR | Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation. | Fangzheng Tian, Debasis Ganguly, Craig Macdonald |
| 2026 | ICTIR | A Theoretical Framework for Risk Analysis of Stochastic Rankers. | Debasis Ganguly |
| 2026 | ICTIR | Relaxed Term Matching for Neural Axiomatic Diagnostics. | Andrew Parry, Maik Frbe, Martin Potthast, Sean MacAvaney, Benno Stein, Matthias Hagen, Debasis Ganguly |
| 2026 | SIGIR | APR: Adaptive Personalised Reranking For Conversational Search. | Shen Dong, Iadh Ounis, Debasis Ganguly |
| 2026 | SIGIR | Optimal Re-Ranking Depth. | Siqing Huo, Andrew Parry, Debasis Ganguly, Charles L. A. Clarke |
| 2026 | SIGIR | Towards a Relevance Posterior in Neural Information Access. | Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney |
| 2025 | CIKM | T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval. | Xuejun Chang, Zaiqiao Meng, Debasis Ganguly |
| 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 | CIKM | HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. | Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2025 | ECIR | One Size Doesn't Fit All: Predicting the Number of Examples for In-Context Learning. | Manish Chandra, Debasis Ganguly, Iadh Ounis |
| 2025 | ECIR | Is Relevance Propagated from Retriever to Generator in RAG? | Fangzheng Tian, Debasis Ganguly, Craig Macdonald |
| 2025 | SIGIR | In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code. | Susmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli |
| 2025 | SIGIR | Exploring the Role of Diversity in Example Selection for In-Context Learning. | Janak Kapuriya, Manit Kaushik, Debasis Ganguly, Sumit Bhatia |
| 2024 | ACL | Exploiting Positional Bias for Query-Agnostic Generative Content in Search. | Andrew Parry, Sean MacAvaney, Debasis Ganguly |
| 2024 | DaWaK | "The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. | Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2024 | ECIR | A Deep Learning Approach for Selective Relevance Feedback. | Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene |
| 2024 | ECIR | Evaluating the Explainability of Neural Rankers. | Saran Pandian, Debasis Ganguly, Sean MacAvaney |
| 2024 | EMNLP | Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. | Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra |
| 2024 | SIGIR | "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". | Andrew Parry, Debasis Ganguly, Manish Chandra |
| 2024 | SIGIR | Detecting and Explaining Emotions in Video Advertisements. | Joachim Vanneste, Manisha Verma, Debasis Ganguly |
| 2023 | CIKM | 'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. | Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis |
| 2023 | CIKM | Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. | Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2023 | CIKM | Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT). | Tulika Saha, Debasis Ganguly, Sriparna Saha, Prasenjit Mitra |
| 2023 | ECIR | On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction. | Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra |
| 2023 | ECIR | Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP. | Suchana Datta, Debasis Ganguly, Josiane Mothe, Md. Zia Ullah |
| 2023 | ECIR | Legal IR and NLP: The History, Challenges, and State-of-the-Art. | Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul |
| 2023 | ECIR | Automatic Videography Generation from Audio Tracks. | Debasis Ganguly, Andrew Parker, Stergious Aji |
| 2023 | JURIX | LeDA: A System for Legal Data Annotation. | Subinay Adhikary, Dwaipayan Roy, Debasis Ganguly, Shouvik Kumar Guha, Kripabandhu Ghosh |
| 2023 | SIGIR | Query-specific Variable Depth Pooling via Query Performance Prediction. | Debasis Ganguly, Emine Yilmaz |
| 2023 | SIGIR | Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. | Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal |
| 2023 | SIGIR | Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. | Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig MacDonald |
| 2022 | CIKM | Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). | Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz |
| 2022 | CIKM | Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. | Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy |
| 2022 | ECIR | An Analysis of Variations in the Effectiveness of Query Performance Prediction. | Debasis Ganguly, Suchana Datta, Mandar Mitra, Derek Greene |
| 2022 | SIGIR | A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. | Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene |
| 2022 | WSDM | Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction. | Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra |
| 2021 | AMIA | Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding. | Debasis Ganguly, Martin Gleize, Yufang Hou, Charles Jochim, Francesca Bonin, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Robert West, Marie Johnston, Mike Kelly, Susan Michie |
| 2021 | CIKM | Multi-objective Few-shot Learning for Fair Classification. | Ishani Mondal, Procheta Sen, Debasis Ganguly |
| 2021 | EACL | TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics. | Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly |
| 2021 | ICTIR | Session details: Session 4A - Question Answering. | Debasis Ganguly |
| 2021 | ICTIR | Effective Query Formulation in Conversation Contextualization: A Query Specificity-based Approach. | Dipasree Pal, Debasis Ganguly |
| 2021 | SIGIR | NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. | Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas |
| 2021 | WSDM | Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. | Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones |
| 2020 | AAAI | Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning. | Procheta Sen, Debasis Ganguly |
| 2020 | AMIA | Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation. | Francesca Bonin, Martin Gleize, Yufang Hou, Debasis Ganguly, Ailbhe Finnerty, Charles Jochim, Alessandra Pascale, Pierpaolo Tommasi, Pol Mac Aonghusa, Susan Michie |
| 2020 | CIKM | Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants. | Anirban Chakraborty, Debasis Ganguly, Owen Conlan |
| 2020 | CIKM | ALEX: Active Learning based Enhancement of a Classification Model's EXplainability. | Ishani Mondal, Debasis Ganguly |
| 2020 | LREC | HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports. | Francesca Bonin, Martin Gleize, Ailbhe Finnerty, Candice Moore, Charles Jochim, Emma Norris, Yufang Hou, Alison J. Wright, Debasis Ganguly, Emily Hayes, Silje Zink, Alessandra Pascale, Pol Mac Aonghusa, Susan Michie |
| 2020 | SIGIR | Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation. | Anirban Chakraborty, Debasis Ganguly, Owen Conlan |
| 2020 | SIGIR | Retrieving Potential Causes from a Query Event. | Suchana Datta, Debasis Ganguly, Dwaipayan Roy, Francesca Bonin, Charles Jochim, Mandar Mitra |
| 2020 | SIGIR | The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. | Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones |
| 2019 | ACL | Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction. | Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly |
| 2019 | CIKM | Privacy Preserving Approximate K-means Clustering. | Chandan Biswas, Debasis Ganguly, Dwaipayan Roy, Ujjwal Bhattacharya |
| 2019 | CIKM | I-REX: A Lucene Plugin for EXplainable IR. | Dwaipayan Roy, Sourav Saha, Mandar Mitra, Bihan Sen, Debasis Ganguly |
| 2019 | ICTIR | A Factored Relevance Model for Contextual Point-of-Interest Recommendation. | Anirban Chakraborty, Debasis Ganguly, Annalina Caputo, Samus Lawless |
| 2019 | NAACL | Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences. | Procheta Sen, Debasis Ganguly, Gareth J. F. Jones |
| 2019 | SIGIR | LIRME: Locally Interpretable Ranking Model Explanation. | Manisha Verma, Debasis Ganguly |
| 2018 | CIKM | Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance. | Dwaipayan Roy, Debasis Ganguly, Sumit Bhatia, Srikanta Bedathur, Mandar Mitra |
| 2018 | NAACL | Decision Conversations Decoded. | La A. Deleris, Debasis Ganguly, Killian Levacher, Martin Stephenson, Francesca Bonin |
| 2018 | NAACL | Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction. | Procheta Sen, Debasis Ganguly, Gareth J. F. Jones |
| 2018 | WWW | Contextual Word Embedding: A Case Study in Clustering Tweets about Emergency Situations. | Debasis Ganguly, Kripabandhu Ghosh |
| 2018 | WWW | WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. | Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh |
| 2018 | SIGIR | Procrastination is the Thief of Time: Evaluating the Effectiveness of Proactive Search Systems. | Procheta Sen, Debasis Ganguly, Gareth J. F. Jones |
| 2016 | CIKM | Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation. | Dwaipayan Roy, Debasis Ganguly, Mandar Mitra, Gareth J. F. Jones |
| 2016 | ICTIR | Nearest Neighbour based Transformation Functions for Text Classification: A Case Study with StackOverflow. | Piyush Arora, Debasis Ganguly, Gareth J. F. Jones |
| 2016 | ICTIR | Joint Estimation of Topics and Hashtag Relevance in Cross-Lingual Tweets. | Procheta Sen, Debasis Ganguly, Gareth J. F. Jones |
| 2016 | LREC | Developing a Dataset for Evaluating Approaches for Document Expansion with Images. | Debasis Ganguly, Iacer Calixto, Gareth J. F. Jones |
| 2016 | SIGIR | Retrievability of Code Mixed Microblogs. | Debasis Ganguly, Ayan Bandyopadhyay, Mandar Mitra, Gareth J. F. Jones |
| 2015 | ICTIR | Partially Labeled Supervised Topic Models for RetrievingSimilar Questions in CQA Forums. | Debasis Ganguly, Gareth J. F. Jones |
| 2015 | SIGIR | Word Embedding based Generalized Language Model for Information Retrieval. | Debasis Ganguly, Dwaipayan Roy, Mandar Mitra, Gareth J. F. Jones |
| 2014 | COLING | Automatic Prediction of Aesthetics and Interestingness of Text Passages. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2014 | SIGIR | Retrieval of similar chess positions. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2013 | SIGIR | TopicVis: a GUI for topic-based feedback and navigation. | Debasis Ganguly, Manisha Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2013 | SIGIR | An LDA-smoothed relevance model for document expansion: a case study for spoken document retrieval. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2012 | COLING | Cross-Lingual Topical Relevance Models. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2012 | COLING | Approximate Sentence Retrieval for Scalable and Efficient Example-Based Machine Translation. | Johannes Leveling, Debasis Ganguly, Sandipan Dandapat, Gareth J. F. Jones |
| 2011 | CIKM | Utilizing sub-topical structure of documents for information retrieval. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2011 | CIKM | United we fall, divided we stand: a study of query segmentation and prf for patent prior art search. | Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones |
| 2011 | CIKM | Patent query reduction using pseudo relevance feedback. | Debasis Ganguly, Johannes Leveling, Walid Magdy, Gareth J. F. Jones |
| 2011 | ICTIR | Enhanced Information Retrieval Using Domain-Specific Recommender Models. | Wei Li, Debasis Ganguly, Gareth J. F. Jones |