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)

A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks. - Shubham Ekapure; Nuruddin Jiruwala; Sohan Patnaik; Indranil SenGupta (CoRR, 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)

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)

SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. - Priyanka Goyal; Sohan Patnaik; Adway Mitra; Manjira Sinha (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)

CABINET: Content Relevance-based Noise Reduction for Table Question Answering. - Sohan Patnaik; Heril Changwal; Milan Aggarwal; Sumit Bhatia; Yaman Kumar 001; Balaji Krishnamurthy (ICLR, 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)

Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning. - Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy (ACL (1), 2025)

AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models. - Sohan Patnaik; Rishabh Jain; Balaji Krishnamurthy; Mausoom Sarkar (CVPR, 2025)

It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation. - Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy (ICLR, 2025)