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20232026
most citedHow Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

24 citations · 76 across the 34 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 2 cited

Multi-Label Classification of COVID-Tweets Using Large Language Models

Aniket Deroy, Subhankar Maity

Vaccination is important to minimize the risk and spread of various diseases. In recent years, vaccination has been a key step in countering the COVID-19 pandemic. However, many pe…

cs.CL2023★ 1 cited

Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries

Aniket Deroy, Subhankar Maity, Saptarshi Ghosh

This study addresses the critical issue of factual inaccuracies in machine-generated text summaries, an increasingly prevalent issue in information dissemination. Recognizing the p…

cs.CL2023★ 1 cited

Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

Designing high-quality educational questions is a challenging and time-consuming task. In this work, we propose a novel approach that utilizes prompt-based techniques to generate d…

cs.CL2023★ 1 cited

Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?

Aniket Deroy, Subhankar Maity

The evolution of legal datasets and the advent of large language models (LLMs) have significantly transformed the legal field, particularly in the generation of case judgment summa…

cs.CL2023★ 9 cited

Fact-based Court Judgment Prediction

Shubham Kumar Nigam, Aniket Deroy

This extended abstract extends the research presented in "ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation" \cite{malik-etal-2021-ildc}, f…

cs.CL2023★ 10 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.CL2023★ 24 cited

How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh

Automatic summarization of legal case judgements has traditionally been attempted by using extractive summarization methods. However, in recent years, abstractive summarization mod…