Manav Nitin Kapadnis

18 papers A* 1B 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models.
CoRR
Manav Nitin Kapadnis, Lawanya Baghel, Atharva Naik, Carolyn P. Rosé
2025 J jnl
CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review.
CoRR
Manav Nitin Kapadnis, Atharva Naik, Carolyn P. Rosé
2025 J jnl
PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics.
CoRR
Atharva Naik, Darsh Agrawal, Manav Nitin Kapadnis, Yuwei An, Yash Mathur, Carolyn P. Rosé, David R. Mortensen
2024 J jnl
***FastDoc***: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy.
Trans. Mach. Learn. Res.
Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
2024 A* conf
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding.
EMNLP
Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell
2024 — conf
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models.
ClinicalNLP@NAACL
Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
2024 J jnl
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models.
CoRR
Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
2023 — conf
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text.
EMNLP (Findings)
Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
2023 J jnl
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text.
CoRR
Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
2023 J jnl
FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata.
CoRR
Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
2022 B conf
An Evaluation Framework for Legal Document Summarization.
LREC
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar
2022 J jnl
An Evaluation Framework for Legal Document Summarization.
CoRR
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar
2022 — conf
Enolp musk@SMM4H'22 : Leveraging Pre-trained Language Models for Stance And Premise Classification.
SMM4H@COLING
Millon Das, Archit Mangrulkar, Ishan Manchanda, Manav Nitin Kapadnis, Sohan Patnaik
2022 — conf
Fine-grained Intent Classification in the Legal Domain.
SDU@AAAI
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav
2022 J jnl
Fine-grained Intent Classification in the Legal Domain.
CoRR
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav
2021 — conf
Compositional Committees of Tiny Networks.
ICONIP (6)
Goh Howe Seng, Tomas Maul, Manav Nitin Kapadnis
2021 — conf
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching.
ArgMining@EMNLP
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
2021 J jnl
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching.
CoRR
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy