activity
20172026
most citedHow Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

24 citations · 89 across the 18 of their papers we have counts for

collaborators

22 papers

cs.CL2026

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs

Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh

In recent times, Large Language Models (LLMs) are increasingly being used for legal case judgement summarization. Most prior works have tried traditional extractive and abstractive…

cs.CL2025

MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents

Purbid Bambroo, Subinay Adhikary, Paheli Bhattacharya +3

Identification of rhetorical roles like facts, arguments, and final judgments is central to understanding a legal case document and can lend power to other downstream tasks like le…

cs.CL20243 cited

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization

Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh

Automatic summarization of legal case judgements, which are known to be long and complex, has traditionally been tried via extractive summarization models. In recent years, generat…

cs.AI2024

Artificial Intelligence (AI) in Legal Data Mining

Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh +2

Despite the availability of vast amounts of data, legal data is often unstructured, making it difficult even for law practitioners to ingest and comprehend the same. It is importan…

cs.CL202310 cited

Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation

Shubham Kumar Nigam, Aniket Deroy, Noel Shallum +6

This paper describes our submission to the SemEval-2023 for Task 6 on LegalEval: Understanding Legal Texts. Our submission concentrated on three subtasks: Legal Named Entity Recogn…

cs.CV2023

Exemplar-Free Continual Transformer with Convolutions

Anurag Roy, Vinay Kumar Verma, Sravan Voonna +3

Continual Learning (CL) involves training a machine learning model in a sequential manner to learn new information while retaining previously learned tasks without the presence of…