Sohan Patnaik

23 papers A* 3B 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation.
CoRR
Varun Gopal, Rishabh Jain, Aradhya Neeraj Mathur, Nikitha S. R., Sohan Patnaik, Sudhir Yarram, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar
2025 J jnl
AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent.
CoRR
Neeraj Anand, Rishabh Jain, Sohan Patnaik, Balaji Krishnamurthy, Mausoom Sarkar
2025 A* conf
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models.
CVPR
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar
2025 J jnl
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models.
CoRR
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar
2025 A* conf
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation.
ICLR
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
2025 J jnl
It Helps to Take a Second Opinion: Teaching Smaller LLMs to Deliberate Mutually via Selective Rationale Optimisation.
CoRR
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
2025 — conf
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning.
ACL (1)
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
2025 J jnl
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning.
CoRR
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
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 J jnl
CABINET: Content Relevance based Noise Reduction for Table Question Answering.
CoRR
Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy
2024 A* conf
CABINET: Content Relevance-based Noise Reduction for Table Question Answering.
ICLR
Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy
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 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
2023 J jnl
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution.
CoRR
Priyanka Goyal, Sohan Patnaik, Adway Mitra, Manjira Sinha
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 J jnl
A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks.
CoRR
Shubham Ekapure, Nuruddin Jiruwala, Sohan Patnaik, Indranil SenGupta
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