1. Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling - Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal, In Proceedings of North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, June 16-21, 2024 (Accepted at Main conference)

  2. Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts - Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal, SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Washington D.C., USA, July 14-18, 2024 (Accepted)

  3. "How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era" - Soham Poddar, Subhendu Khatuya, Rajdeep Mukherjee, Sapatarshi Ghosh, Niloy Ganguly , AAAI Conference on Web and Social Media (AAAI-ICWSM) BUFFALO, NEW YORK, USA, 3-6 June, 2024 (Accepted)

  4. "Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging" - Subhendu Khatuya, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly accepted as short Paper In Proceedings of Association for Computational Linguistics (ACL),Toronto, Canada, 9-14 July, 2023 (Accepted)

  5. "ADELE: Anomaly Detection from Event Log Empiricism" - Subhendu Khatuya, Jayanta Basak, Niloy Ganguly, Madhumita Bharde, Bivas Mitra accepted as long Paper In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, USA, 15-19 April 2018 (Accepted) Acceptance rate: 19.2%. [PDF]

  6. " GBTM: Graph Based Troubleshooting Method for Handling Customer Cases Using Storage System Log" - Subhendu Khatuya, Ajay Bakhshi, Jayanta Basak, Niloy Ganguly, Bivas Mitra, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia 2018 (Accepted).Acceptance rate:17.79%. [PDF]