Sohan Patnaik

According to our database, Sohan Patnaik authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning.

Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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, Niloy Ganguly

Trans. Mach. Learn. Res., 2024

CABINET: Content Relevance-based Noise Reduction for Table Question Answering.

Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models.

Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

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

FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata.

Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly

CoRR, 2023

2022

An Evaluation Framework for Legal Document Summarization.

Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 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

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Fine-grained Intent Classification in the Legal Domain.

Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

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

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

Proceedings of the 8th Workshop on Argument Mining, 2021