Debtanu Datta, Mohan Kishore Chilukuri, Yash Kumar, Saptarshi Ghosh, Muhammad Bilal Zafar. Do LLM hallucination detectors suffer from low-resource effect? In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Association for Computational Linguistics, Morocco, 2026. [Core A]
Kaustav Das, Debtanu Datta, Moumita Basu, Saptarshi Ghosh. Humanitarian Classification of Crisis-related Microblogs in Bengali: A Comparison of Multilingual Pre-trained Language Models. In International Journal of Disaster Risk Reduction (IJDRR), Elsevier, 2025. DOI: https://doi.org/10.1016/j.ijdrr.2025.105673
Sayan Mahapatra, Debtanu Datta, Shubham Soni, Adrijit Goswami, Saptarshi Ghosh. MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages. In ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 2024. DOI: https://doi.org/10.1145/3748313
Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh. MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Singapore, 2023. DOI: https://doi.org/10.18653/v1/2023.emnlp-main.321 [Core A*]
Debtanu Datta, Mainak Chatterjee, Rohit Sharma, Adrijit Goswami, Saptarshi Ghosh. CrILDSum: A Novel Benchmark Dataset for Cross-lingual Summarization of Long Indian Legal Judgments. (Under Review)
Debtanu Datta, Rajdeep Mukherjee, Adrijit Goswami, Saptarshi Ghosh. Advantages of Domain Knowledge Injection for Legal Document Summarization: A Case Study on Summarizing Indian Court Judgments in English and Hindi. (Under Review)