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Sohan Patnaik
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2020 – today
- 2024
- [j1]Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly:
***FastDoc***: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy. Trans. Mach. Learn. Res. 2024 (2024) - [c6]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. ClinicalNLP@NAACL 2024: 283-291 - [c5]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance-based Noise Reduction for Table Question Answering. ICLR 2024 - [i8]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance based Noise Reduction for Table Question Answering. CoRR abs/2402.01155 (2024) - [i7]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. CoRR abs/2404.17912 (2024) - 2023
- [i6]Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly:
FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata. CoRR abs/2306.06190 (2023) - [i5]Priyanka Goyal, Sohan Patnaik, Adway Mitra, Manjira Sinha:
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. CoRR abs/2307.05700 (2023) - 2022
- [c4]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav:
Fine-grained Intent Classification in the Legal Domain. SDU@AAAI 2022 - [c3]Millon Das, Archit Mangrulkar, Ishan Manchanda, Manav Nitin Kapadnis, Sohan Patnaik:
Enolp musk@SMM4H'22 : Leveraging Pre-trained Language Models for Stance And Premise Classification. SMM4H@COLING 2022: 156-159 - [c2]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar:
An Evaluation Framework for Legal Document Summarization. LREC 2022: 4747-4753 - [i4]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav:
Fine-grained Intent Classification in the Legal Domain. CoRR abs/2205.03509 (2022) - [i3]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar:
An Evaluation Framework for Legal Document Summarization. CoRR abs/2205.08478 (2022) - 2021
- [c1]Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy:
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. ArgMining@EMNLP 2021: 200-205 - [i2]Shubham Ekapure, Nuruddin Jiruwala, Sohan Patnaik, Indranil SenGupta:
A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks. CoRR abs/2107.14695 (2021) - [i1]Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy:
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. CoRR abs/2110.12370 (2021)
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last updated on 2024-10-07 21:23 CEST by the dblp team
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