| 2026 | ACL | PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation. | Kirandeep Kaur, Vinayak Gupta, Aditya Gupta, Chirag Shah |
| 2026 | ACL | ClaimDB: A Fact Verification Benchmark over Large Structured Data. | Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, Dan Suciu |
| 2026 | CHIIR | Rethinking Human-AI Collaboration in Information Seeking: Why Epistemic Incompatibility Demands New Design Paradigms. | Chirag Shah |
| 2026 | CHIIR | Workshop on Human-Centered Proactive and Personalized Agents for Interactive Information Access. | Kirandeep Kaur, Vinayak Gupta, Madhura Raju, Tanya G. Roosta, Grace Hui Yang, Chirag Shah |
| 2026 | ICTIR | TopicTune: A Topic Alignment Approach to Improve LLMs Reasoning on Social Questions. | Maryam Amirizaniani, Baktash Ansari, Chirag Shah, Afra Mashhadi |
| 2026 | ICTIR | LLM-Driven Usefulness Judgment for Web Search Evaluation. | Mouly Dewan, Jiqun Liu, Aditya Gautam, Chirag Shah |
| 2026 | ICTIR | A Design Science Framework for Human-Agent Teams in Information Retrieval. | Chirag Shah, Lynda Tamine, Mouly Dewan |
| 2026 | SIGIR | iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics. | Preetam Prabhu Srikar Dammu, Arnav Palkhiwala, Tanya G. Roosta, Chirag Shah |
| 2026 | WSDM | TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval. | Mouly Dewan, Jiqun Liu, Chirag Shah |
| 2025 | ICTIR | Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization. | Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah |
| 2025 | ICTIR | 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 | SIGIR | From To-Do to Ta-Da: Transforming Task-Focused IR with Generative AI. | Chirag Shah, Ryen W. White |
| 2025 | SIGIR | Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets. | Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah |
| 2025 | SIGIR | LLM-Driven Usefulness Labeling for IR Evaluation. | Mouly Dewan, Jiqun Liu, Chirag Shah |
| 2025 | WSDM | How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries. | Maryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah, Afra Mashhadi |
| 2024 | ACL | S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. | Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi |
| 2024 | AIES | Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust. | Ruoxi Shang, Gary Hsieh, Chirag Shah |
| 2024 | CIKM | AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. | Maryam Amirizaniani, Elias Martin, Tanya G. Roosta, Aman Chadha, Chirag Shah |
| 2024 | CIKM | Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions. | Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah |
| 2024 | EMNLP | ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. | Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya G. Roosta, Aman Chadha, Chirag Shah |
| 2024 | KDD | TnT-LLM: Text Mining at Scale with Large Language Models. | Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan |
| 2023 | CHIIR | Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. | Shawon Sarkar, Maryam Amirizaniani, Chirag Shah |
| 2023 | CHIIR | Taking Search to Task. | Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin |
| 2023 | CIKM | Generative AI and the Future of Information Access. | Chirag Shah |
| 2023 | CIKM | RecRec: Algorithmic Recourse for Recommender Systems. | Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah |
| 2023 | IJCAI | Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. | Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah |
| 2023 | SIGIR | Proactive Conversational Agents in the Post-ChatGPT World. | Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | WSDM | Proactive Conversational Agents. | Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | WSDM | A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval. | Shawon Sarkar, Chirag Shah |
| 2022 | AAAI | Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. | Yunhe Feng, Chirag Shah |
| 2022 | CHIIR | Situating Search. | Chirag Shah, Emily M. Bender |
| 2022 | WWW | ExpScore: Learning Metrics for Recommendation Explanation. | Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah |
| 2021 | CHIIR | Bridging Task Expressions and Search Queries. | Chirag Shah, Ryen W. White |
| 2021 | ICTIR | An Integrated Model of Task, Information Needs, Sources and Uncertainty to Design Task-Aware Search Systems. | Shawon Sarkar, Chirag Shah |
| 2021 | SIGIR | Addressing Bias and Fairness in Search Systems. | Ruoyuan Gao, Chirag Shah |
| 2020 | CHIIR | Identifying and Predicting the States of Complex Search Tasks. | Jiqun Liu, Shawon Sarkar, Chirag Shah |
| 2020 | RecSys | Counteracting Bias and Increasing Fairness in Search and Recommender Systems. | Ruoyuan Gao, Chirag Shah |
| 2020 | RecSys | Investigating Listeners' Responses to Divergent Recommendations. | Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette |
| 2020 | SIGIR | Fairness-Aware Explainable Recommendation over Knowledge Graphs. | Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo |
| 2020 | SIGIR | Tutorial on Task-Based Search and Assistance. | Chirag Shah, Ryen W. White |
| 2020 | SIGIR | EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. | Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah |
| 2019 | CHIIR | Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. | Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin |
| 2019 | CHIIR | Task, Information Seeking Intentions, and User Behavior: Toward A Multi-level Understanding of Web Search. | Jiqun Liu, Matthew Mitsui, Nicholas J. Belkin, Chirag Shah |
| 2019 | CHIIR | Investigating the Impacts of Expectation Disconfirmation on Web Search. | Jiqun Liu, Chirag Shah |
| 2019 | CHIIR | Coagmento v3.0: Rapid Prototyping of Web Search Experiments. | Diana Soltani, Matthew Mitsui, Chirag Shah |
| 2019 | CIKM | Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. | Souvick Ghosh, Chirag Shah |
| 2019 | ICTIR | How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. | Ruoyuan Gao, Chirag Shah |
| 2019 | SIGIR | Bridging Gaps: Predicting User and Task Characteristics from Partial User Information. | Matthew Mitsui, Chirag Shah |
| 2019 | SIGIR | EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. | Yongfeng Zhang, Yi Zhang, Min Zhang, Chirag Shah |
| 2018 | ACSAC | DeDoS: Defusing DoS with Dispersion Oriented Software. | Henri Maxime Demoulin, Tavish Vaidya, Isaac Pedisich, Bob DiMaiolo, Jingyu Qian, Chirag Shah, Yuankai Zhang, Ang Chen, Andreas Haeberlen, Boon Thau Loo, Linh Thi Xuan Phan, Micah Sherr, Clay Shields, Wenchao Zhou |
| 2018 | CHIIR | Searching as Learning: Exploring Search Behavior and Learning Outcomes in Learning-related Tasks. | Souvick Ghosh, Manasa Rath, Chirag Shah |
| 2018 | CHIIR | The Role of the Task Topic in Web Search of Different Task Types. | Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin |
| 2018 | CHIIR | The Paradox of Personalization: Does Task Prediction Require Individualized Models? | Matthew Mitsui, Jiqun Liu, Chirag Shah |
| 2018 | CHIIR | Coagmento: Past, Present, and Future of an Individual and Collaborative Information Seeking Platform. | Matthew Mitsui, Jiqun Liu, Chirag Shah |
| 2018 | CHIIR | Information Retrieval and Interaction System (IRIS): A Toolkit for Investigating Information Retrieval and Interaction Activities. | Jonathan Pulliza, Chirag Shah |
| 2018 | CHIIR | Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. | Manasa Rath, Souvick Ghosh, Chirag Shah |
| 2018 | CHIIR | Information Fostering - Being Proactive with Information Seeking and Retrieval: Perspective Paper. | Chirag Shah |
| 2018 | CHIIR | Juggling with Information Sources, Task Type, and Information Quality. | Yiwei Wang, Shawon Sarkar, Chirag Shah |
| 2018 | CSCW | Persuasion by Peer or Expert for Web Search. | Yiwei Wang, Jiqun Liu, Soumik Mandal, Chirag Shah |
| 2018 | ICTIR | The Broad View of Task Type Using Path Analysis. | Matthew Mitsui, Chirag Shah |
| 2018 | ISDA | Autonomous Water Surveillance Rover. | Abhishek Rai, Chirag Shah, Nirav Shah |
| 2018 | SIGIR | How Much is Too Much?: Whole Session vs. First Query Behaviors in Task Type Prediction. | Matthew Mitsui, Jiqun Liu, Chirag Shah |
| 2017 | CHIIR | Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (Ecol'17). | Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, Lynda Tamine |
| 2017 | CHIIR | Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering. | Long T. Le, Chirag Shah, Erik Choi |
| 2017 | CHIIR | Discerning the Quality of Questions in Educational Q&Ausing Textual Features. | Manasa Rath, Long T. Le, Chirag Shah |
| 2017 | CHIIR | Investigating Information Seekers' Selection of Interpersonal and Impersonal Sources. | Yiwei Wang, Shawon Sarkar, Chirag Shah |
| 2017 | SIGIR | Predicting Information Seeking Intentions from Search Behaviors. | Matthew Mitsui, Jiqun Liu, Nicholas J. Belkin, Chirag Shah |
| 2017 | SDM | Collaborative User Network Embedding for Social Recommender Systems. | Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang |
| 2016 | ACIIDS | Retrieving Rising Stars in Focused Community Question-Answering. | Long T. Le, Chirag Shah |
| 2016 | RecSys | Multi-Word Generative Query Recommendation Using Topic Modeling. | Matthew Mitsui, Chirag Shah |
| 2016 | SIGIR | Extracting Information Seeking Intentions for Web Search Sessions. | Matthew Mitsui, Chirag Shah, Nicholas J. Belkin |
| 2016 | SIGIR | Collaborative Information Seeking: Art and Science of Achieving 1+1>2 in IR. | Chirag Shah |
| 2015 | CIKM | Social and Collaborative Information Seeking: State of the Union. | Chirag Shah |
| 2014 | SIGIR | Discrimination between tasks with user activity patterns during information search. | Michael J. Cole, Chathra Hendahewa, Nicholas J. Belkin, Chirag Shah |
| 2014 | SIGIR | User-driven system-mediated collaborative information retrieval. | Laure Soulier, Chirag Shah, Lynda Tamine |
| 2013 | CSCW | Collaborative information seeking: consolidating the past, creating the future. | Chirag Shah, Preben Hansen, Robert Capra |
| 2013 | ICMLA | Segmental Analysis and Evaluation of User Focused Search Process. | Chathra Hendahewa, Chirag Shah |
| 2012 | CHI | Understanding effects of time and proximity on collaboration: implications for technologies to support collaborative information seeking. | Roberto I. Gonzlez-Ibez, Mge Haseki, Chirag Shah |
| 2012 | CSCW | Time as a trigger of interaction and collaboration in research teams: a diary study. | Mge Haseki, Chirag Shah, Roberto I. Gonzlez-Ibez |
| 2012 | SIGIR | Collaborative information seeking: art and science of achieving 1+1>2 in IR. | Chirag Shah |
| 2012 | WSDM | Collaborative information seeking: understanding users, systems, and content. | Chirag Shah |
| 2011 | SIGIR | Evaluating the synergic effect of collaboration in information seeking. | Chirag Shah, Roberto I. Gonzlez-Ibez |
| 2010 | Group | Group's affective relevance: a proposal for studying affective relevance in collaborative information seeking. | Roberto I. Gonzlez-Ibez, Chirag Shah |
| 2010 | Group | Collaborative information seeking (CIS): toward new theories and applications. | Chirag Shah, Madhu C. Reddy, Michael B. Twidale |
| 2010 | SIGIR | Evaluating and predicting answer quality in community QA. | Chirag Shah, Jeffrey Pomerantz |
| 2009 | CHI | Learning design principles for a collaborative information seeking system. | Chirag Shah, Gary Marchionini, Diane Kelly |
| 2008 | SIGIR | Algorithmic mediation for collaborative exploratory search. | Jeremy Pickens, Gene Golovchinsky, Chirag Shah, Pernilla Qvarfordt, Maribeth Back |
| 2008 | SIGIR | Understanding system implementation and user behavior in a collaborative information seeking environment. | Chirag Shah |
| 2007 | ECIR | Use of Topicality and Information Measures to Improve Document Representation for Story Link Detection. | Chirag Shah, Koji Eguchi |
| 2007 | SIGIR | Using collaborative queries to improve retrieval for difficult topics. | Xin Fu, Diane Kelly, Chirag Shah |
| 2007 | SIGIR | Making mind and machine meet: a study of combining cognitive and algorithmic relevance feedback. | Chirag Shah, Diane Kelly, Xin Fu |
| 2007 | SIGIR | DiscoverInfo: a tool for discovering information with relevance and novelty. | Chirag Shah, Gary Marchionini |
| 2006 | CIKM | Representing documents with named entities for story link detection (SLD). | Chirag Shah, W. Bruce Croft, David D. Jensen |
| 2004 | SIGIR | Evaluating high accuracy retrieval techniques. | Chirag Shah, W. Bruce Croft |