My research interest lies in the area of resposible information systems design. The objective is to balance model performance and responsibility components. I am interested in designing core retrieval models and applications of them in heaalthcare, legal domains, etc.
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Human vs ChatGPT: Effect of Data Annotation in Interpretable Crisis-Related Microblog Classification by Nguyen T. H., Rudra K. WWW '24: Proceedings of the ACM on Web Conference 2024 4534-4543 (2024)
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Interpretable Clinical Trial Search using Pubmed Citation Network by Roy S., Ganguly N. , Sural S. , Rudra K. 2023 IEEE International Conference on Digital Health (ICDH) 328-338 (2023)
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Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget by Nguyen T. H., Rudra K. WWW '23: Proceedings of the ACM Web Conference 2023 3959-3967 (2023)
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LLMs the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases by Vats S., Zope A. , De S. , Sharma A. , Bhattacharya U. , Nigam S. , Guha S. , Rudra K. , Ghosh K. Findings of the Association for Computational Linguistics: EMNLP 2023 12451-12474 (2023)
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Efficient Neural Ranking using Forward Indexes by Leonhardt J., Rudra K. , Khosla M. , Anand A. , Anand A. WWW '22: Proceedings of the ACM Web Conference 2022 266-276 (2022)
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Data augmentation for sample efficient and robust document ranking by Anand A., Leonhardt J. , Singh J. , Rudra K. , Anand A. ACM Transactions on Information Systems 42 1-29 (2024)
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Extractive Explanations for Interpretable Text Ranking by Leonhardt J., Rudra K. , Anand A. ACM Transactions on Information Systems 41 1-31 (2023)
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Role of Crisis Information Summarization Through Microblogs in Disaster Management by Rudra K., Goyal P. , Ganguly N. , Mitra P. , Imran M. International Handbook of Disaster Research 1-21 (2023)
Principal Investigator
- Developing a Fair and Interpretable Clinical Trial Search System IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
- Developing Large Language Model Augmented Interpretable Medical Search System Sponsored Research and Industrial Consultancy (SRIC)
- Identifying the Differences between the Large Language Model and Human-Generated Texts to Facilitate Responsible AI MICROSOFT INDIA (R and D) PRIVATE LIMITED
- Search Engine for Legislative Indian Legal Documents The West Bengal National University of Juridical Sciences (WBNUJS)
- Towards Interpretable Information Systems Leveraging Efficiency with Interpretability Department of Science and Technology (DST)
Co-Principal Investigator
- IREM: Informative and Robust Explanation Generation of Deep Multi-modal models. Scheme for Promotion of Academic and Research Collaboration (SPARC), Apex Committee of SPARC, Ministry of Education
Ph. D. Students
Anurag Sharma
Area of Research: Responsible AI, Information Retrieval
Rupali Chandrakant Patole
Area of Research: Responsible AI, LLM
Srinjoy Chanda
Area of Research: Responsible AI, Information Retrieval, AI in Healthcare
Subham Kumar
Area of Research: LLMs for electronic health record analysis and decision support
