no code implementations • 27 Apr 2024 • Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
Radiology Report Generation (R2Gen) demonstrates how Multi-modal Large Language Models (MLLMs) can automate the creation of accurate and coherent radiological reports.
1 code implementation • 22 Oct 2023 • Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
In this paper, we propose CLMSM, a domain-specific, continual pre-training framework, that learns from a large set of procedural recipes.
1 code implementation • 9 Jun 2023 • Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
As the demand for sophisticated Natural Language Processing (NLP) models continues to grow, so does the need for efficient pre-training techniques.
1 code implementation • LREC 2022 • Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav, Roshni Kar
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc.
no code implementations • 6 May 2022 • Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav
A law practitioner has to go through a lot of long legal case proceedings.
1 code implementation • EMNLP (ArgMining) 2021 • Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
We present the system description for our submission towards the Key Point Analysis Shared Task at ArgMining 2021.