Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. - Manav Nitin Kapadnis; Sohan Patnaik; Siba Smarak Panigrahi; Varun Madhavan; Abhilash Nandy (ArgMining@EMNLP, 2021)

Compositional Committees of Tiny Networks. - Goh Howe Seng; Tomás Maul; Manav Nitin Kapadnis (ICONIP (6), 2021)

Fine-grained Intent Classification in the Legal Domain. - Ankan Mullick; Abhilash Nandy; Manav Nitin Kapadnis; Sohan Patnaik; R. Raghav (SDU@AAAI, 2022)

Enolp musk@SMM4H'22 : Leveraging Pre-trained Language Models for Stance And Premise Classification. - Millon Das; Archit Mangrulkar; Ishan Manchanda; Manav Nitin Kapadnis; Sohan Patnaik (SMM4H@COLING, 2022)

An Evaluation Framework for Legal Document Summarization. - Ankan Mullick; Abhilash Nandy; Manav Nitin Kapadnis; Sohan Patnaik; R. Raghav; Roshni Kar (LREC, 2022)

CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. - Abhilash Nandy; Manav Nitin Kapadnis; Pawan Goyal 002; Niloy Ganguly (EMNLP (Findings), 2023)

FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata. - Abhilash Nandy; Manav Nitin Kapadnis; Sohan Patnaik; Yash Parag Butala; Pawan Goyal 002; Niloy Ganguly (CoRR, 2023)

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. - Manav Nitin Kapadnis; Sohan Patnaik; Abhilash Nandy; Sourjyadip Ray; Pawan Goyal 002; Debdoot Sheet (ClinicalNLP@NAACL, 2024)

Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding. - Biswesh Mohapatra; Manav Nitin Kapadnis; Laurent Romary; Justine Cassell (EMNLP, 2024)

***FastDoc***: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy. - Abhilash Nandy; Manav Nitin Kapadnis; Sohan Patnaik; Yash Parag Butala; Pawan Goyal 002; Niloy Ganguly (Trans. Mach. Learn. Res., 2024)

PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics. - Atharva Naik; Darsh Agrawal; Manav Nitin Kapadnis; Yuwei An; Yash Mathur; Carolyn P. Rosé; David R. Mortensen (CoRR, 2025)

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review. - Manav Nitin Kapadnis; Atharva Naik; Carolyn P. Rosé (CoRR, 2025)