Chirag Shah

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 149

Top Venues

Publications

Maryam Amirizaniani, Tanya Roosta, Aman Chadha, Chirag Shah
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. CoRR (2024)
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
TnT-LLM: Text Mining at Scale with Large Language Models. KDD (2024)
Julia Kharchenko, Tanya Roosta, Aman Chadha, Chirag Shah
How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions. CoRR (2024)
Maryam Amirizaniani, Jihan Yao, Adrian Lavergne, Elizabeth Snell Okada, Aman Chadha, Tanya Roosta, Chirag Shah
Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop. CoRR (2024)
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR (2024)
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. CoRR (2024)
Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses. CoRR (2024)
Kirandeep Kaur, Chirag Shah
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations. CoRR (2024)
Chirag Shah
From Prompt Engineering to Prompt Science With Human in the Loop. CoRR (2024)
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
TnT-LLM: Text Mining at Scale with Large Language Models. CoRR (2024)
Chirag Shah, Ryen W. White
Panmodal Information Interaction. CoRR (2024)
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) (2024)
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR (2023)
Chirag Shah, Ryen W. White
Report on the 1st Workshop on Task Focused IR in the Era of Generative AI. SIGIR Forum 57 (2) (2023)
Preetam Prabhu Srikar Dammu, Chirag Shah
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification. CoRR (2023)
Yin Zhang, Dan Wu, Loni Hagen, Il-Yeol Song, Javed Mostafa, Sam Gyun Oh, Theresa D. Anderson, Chirag Shah, Bradley Wade Bishop, Frank Hopfgartner, Kai Eckert, Lisa Federer, Jeffrey S. Saltz
Data science curriculum in the iField. J. Assoc. Inf. Sci. Technol. 74 (6) (2023)
Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
RecRec: Algorithmic Recourse for Recommender Systems. CoRR (2023)
Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR (2023)
Lizi Liao, Grace Hui Yang, Chirag Shah
Proactive Conversational Agents in the Post-ChatGPT World. SIGIR (2023)
Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. CoRR (2023)
Souvick Ghosh, Satanu Ghosh, Chirag Shah
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. CoRR (2023)
Shawon Sarkar, Maryam Amirizaniani, Chirag Shah
Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. CHIIR (2023)
Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
Taking Search to Task. CHIIR (2023)
Muhammad Rahman, Sachi Figliolini, Joyce Kim, Eivy Cedeno, Charles Kleier, Chirag Shah, Aman Chadha
Artificial Intelligence in Career Counseling: A Test Case with ResumAI. CoRR (2023)
Chirag Shah
The past, the present, and the future of information and data sciences: A pragmatic view. Data Inf. Manag. 7 (1) (2023)
Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. IJCAI (2023)
Souvick Ghosh, Satanu Ghosh, Chirag Shah
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. JCDL (2023)
Lizi Liao, Grace Hui Yang, Chirag Shah
Proactive Conversational Agents. WSDM (2023)
Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
Taking Search to Task. CoRR (2023)
Shawon Sarkar, Chirag Shah
A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval. WSDM (2023)
Mark Sanderson, Ramon Lobato, Kieran Hegarty, Lisa M. Given, Chirag Shah
Report on The Web Search Revolution: Symposium. SIGIR Forum 57 (2) (2023)
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR (2023)
Chirag Shah
Generative AI and the Future of Information Access. CIKM (2023)
Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
RecRec: Algorithmic Recourse for Recommender Systems. CIKM (2023)
Chirag Shah, Emily M. Bender
Situating Search. CHIIR (2022)
Miyoung Chong, Chirag Shah, Kai Shu, Jiangen He, Loni Hagen
Delving into Data Science Methods in Response to the COVID -19 Infodemic. ASIST (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR (2022)
Yunhe Feng, Chirag Shah
Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Inf. Process. Manag. 59 (2) (2022)
Bingbing Wen, Xiaoning Bu, Chirag Shah
EGCR: Explanation Generation for Conversational Recommendation. CoRR (2022)
Dongho Choi, Chirag Shah, Vivek K. Singh
Investigating information seeking in physical and online environments with escape room and web search. J. Inf. Sci. 48 (4) (2022)
Abebe Rorissa, Blessing Mawire, Chirag Shah, Diane H. Sonnenwald, Emad Khazaree, Aylin Imeri, Imane Hilal
Professional Development in Crisis: Toward Resilient Society. ASIST (2022)
Ruoxi Shang, K. J. Kevin Feng, Chirag Shah
Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations. FAccT (2022)
Chirag Shah, Stefan Bosse, Carolin Zinn, Axel von Hehl
Optimization of Non-destructive Damage Detection of Hidden Damages in Fiber Metal Laminates Using X-ray Tomography and Machine Learning Algorithms. SYSINT (2022)
Yiwei Wang, Chirag Shah
Authentic versus synthetic: An investigation of the influences of study settings and task configurations on search behaviors. J. Assoc. Inf. Sci. Technol. 73 (3) (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
ExpScore: Learning Metrics for Recommendation Explanation. WWW (2022)
Yunhe Feng, Chirag Shah
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. AAAI (2022)
Jiqun Liu, Chirag Shah
Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions. JCDL (2022)
Ruoyuan Gao, Yingqiang Ge, Chirag Shah
FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 73 (10) (2022)
Shawon Sarkar, Chirag Shah
An Integrated Model of Task, Information Needs, Sources and Uncertainty to Design Task-Aware Search Systems. ICTIR (2021)
Chirag Shah, Ryen W. White
Bridging Task Expressions and Search Queries. CHIIR (2021)
Soumik Mandal, Chirag Shah, Stephanie Peña-Alves, Michael L. Hecht, Shannon D. Glenn, Anne E. Ray, Kathryn Greene
Understanding the spread of prevention and cessation messages on social media for substance use in youth. Aslib J. Inf. Manag. 73 (2) (2021)
Chirag Shah, Theresa Anderson, Loni Hagen, Yin Zhang
An iSchool approach to data science: Human-centered, socially responsible, and context-driven. J. Assoc. Inf. Sci. Technol. 72 (6) (2021)
Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. BIAS (2021)
Bin Han, Chirag Shah, Daniel Saelid
Users' Perception of Search-Engine Biases and Satisfaction. BIAS (2021)
Ruoyuan Gao, Yingqiang Ge, Chirag Shah
FAIR: Fairness-Aware Information Retrieval Evaluation. CoRR (2021)
Bin Han, Chirag Shah, Daniel Saelid
Users' Perception of Search Engine Biases and Satisfaction. CoRR (2021)
Satyajit Ghosh, Yash Dugar, Namrata Kakoti, Chirag Shah
Quantifying wind-driven rain on a heritage facade through computational fluid dynamics. Int. J. Comput. Aided Eng. Technol. 14 (1) (2021)
Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum 55 (2) (2021)
Ruoyuan Gao, Chirag Shah
Addressing Bias and Fairness in Search Systems. SIGIR (2021)
Jiqun Liu, Shawon Sarkar, Chirag Shah
Identifying and Predicting the States of Complex Search Tasks. CHIIR (2020)
Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao
University of Washington at TREC 2020 Fairness Ranking Track. TREC (2020)
Sahil Verma, Ruoyuan Gao, Chirag Shah
Facets of Fairness in Search and Recommendation. CoRR (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR (2020)
Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
University of Washington at TREC 2020 Fairness Ranking Track. CoRR (2020)
Chirag Shah, Ryen W. White
Tutorial on Task-Based Search and Assistance. SIGIR (2020)
Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. SIGIR (2020)
Souvick Ghosh, Chirag Shah
Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. HICSS (2020)
Ruoyuan Gao, Chirag Shah
Toward creating a fairer ranking in search engine results. Inf. Process. Manag. 57 (1) (2020)
Ruoyuan Gao, Chirag Shah
Counteracting Bias and Increasing Fairness in Search and Recommender Systems. RecSys (2020)
Sahil Verma, Ruoyuan Gao, Chirag Shah
Facets of Fairness in Search and Recommendation. BIAS (2020)
Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette
Investigating Listeners' Responses to Divergent Recommendations. RecSys (2020)
Shawon Sarkar, Matthew Mitsui, Jiqun Liu, Chirag Shah
Implicit information need as explicit problems, help, and behavioral signals. Inf. Process. Manag. 57 (2) (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR (2020)
Hanzhang Wang, Chirag Shah, Praseeda Sathaye, Amit Nahata, Sanjeev Katariya
Service Application Knowledge Graph and Dependency System. ASE Workshops (2019)
Souvick Ghosh, Chirag Shah
Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. CIKM (2019)
Jiqun Liu, Chirag Shah
Investigating the Impacts of Expectation Disconfirmation on Web Search. CHIIR (2019)
Diana Soltani, Matthew Mitsui, Chirag Shah
Coagmento v3.0: Rapid Prototyping of Web Search Experiments. CHIIR (2019)
Yongfeng Zhang, Yi Zhang, Min Zhang, Chirag Shah
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. SIGIR (2019)
Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CoRR (2019)
Jiqun Liu, Chirag Shah
Proactive identification of query failure. ASIST (2019)
Matthew Mitsui, Chirag Shah
Bridging Gaps: Predicting User and Task Characteristics from Partial User Information. SIGIR (2019)
Long T. Le, Chirag Shah, Erik Choi
Assessing the quality of answers autonomously in community question-answering. Int. J. Digit. Libr. 20 (4) (2019)
Jiqun Liu, Matthew Mitsui, Nicholas J. Belkin, Chirag Shah
Task, Information Seeking Intentions, and User Behavior: Toward A Multi-level Understanding of Web Search. CHIIR (2019)
Souvick Ghosh, Chirag Shah
Toward Automatic Fake News Classification. HICSS (2019)
Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CHIIR (2019)
Roberto I. González-Ibáñez, Aileen Esparza-Villamán, Juan Carlos Vargas-Godoy, Chirag Shah
A comparison of unimodal and multimodal models for implicit detection of relevance in interactive IR. J. Assoc. Inf. Sci. Technol. 70 (11) (2019)
Ruoyuan Gao, Chirag Shah
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. ICTIR (2019)
Jiqun Liu, Yiwei Wang, Soumik Mandal, Chirag Shah
Exploring the immediate and short-term effects of peer advice and cognitive authority on Web search behavior. Inf. Process. Manag. 56 (3) (2019)
Manasa Rath, Souvick Ghosh, Chirag Shah
Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. CHIIR (2018)
Matthew Mitsui, Jiqun Liu, Chirag Shah
The Paradox of Personalization: Does Task Prediction Require Individualized Models? CHIIR (2018)
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
DeDoS: Defusing DoS with Dispersion Oriented Software. ACSAC (2018)
Matthew Mitsui, Chirag Shah
The Broad View of Task Type Using Path Analysis. ICTIR (2018)
Matthew Mitsui, Jiqun Liu, Chirag Shah
How Much is Too Much?: Whole Session vs. First Query Behaviors in Task Type Prediction. SIGIR (2018)
Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. CoRR (2018)
Long T. Le, Chirag Shah
Retrieving people: Identifying potential answerers in Community Question-Answering. J. Assoc. Inf. Sci. Technol. 69 (10) (2018)
Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin
The Role of the Task Topic in Web Search of Different Task Types. CHIIR (2018)
Matthew Mitsui, Jiqun Liu, Chirag Shah
Coagmento: Past, Present, and Future of an Individual and Collaborative Information Seeking Platform. CHIIR (2018)
Souvick Ghosh, Chirag Shah
Towards automatic fake news classification. ASIST (2018)
Yiwei Wang, Shawon Sarkar, Chirag Shah
Juggling with Information Sources, Task Type, and Information Quality. CHIIR (2018)
Jonathan Pulliza, Chirag Shah
Improving corpus reproducibility through modular text transformations and connected data set. ASIST (2018)

Chirag Shah.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chirag Shah