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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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Showing 2024Show all

18 papers · 1 filter

cs.CL2024

HateGPT: Unleashing GPT-3.5 Turbo to Combat Hate Speech on X

Aniket Deroy, Subhankar Maity

The widespread use of social media platforms like Twitter and Facebook has enabled people of all ages to share their thoughts and experiences, leading to an immense accumulation of…

cs.CL2024

CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts

Aniket Deroy, Subhankar Maity

The rapid growth of social media has resulted in an large volume of user-generated content, particularly in niche domains such as cryptocurrency. This task focuses on developing ro…

cs.CL2024★ 2 cited

Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models

Aniket Deroy, Subhankar Maity

Gastrointestinal (GI) tract cancers account for a substantial portion of the global cancer burden, where early diagnosis is critical for improved management and patient outcomes. T…

cs.CL2024

YouTube Comments Decoded: Leveraging LLMs for Low Resource Language Classification

Aniket Deroy, Subhankar Maity

Sarcasm detection is a significant challenge in sentiment analysis, particularly due to its nature of conveying opinions where the intended meaning deviates from the literal expres…

cs.CL2024★ 1 cited

RetrieveGPT: Merging Prompts and Mathematical Models for Enhanced Code-Mixed Information Retrieval

Aniket Deroy, Subhankar Maity

Code-mixing, the integration of lexical and grammatical elements from multiple languages within a single sentence, is a widespread linguistic phenomenon, particularly prevalent in…

cs.CL2024

Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages

Aniket Deroy, Subhankar Maity

Language Identification (LI) is crucial for various natural language processing tasks, serving as a foundational step in applications such as sentiment analysis, machine translatio…

cs.CY2024

Human-Centric eXplainable AI in Education

Subhankar Maity, Aniket Deroy

As artificial intelligence (AI) becomes more integrated into educational environments, how can we ensure that these systems are both understandable and trustworthy? The growing dem…

cs.CL2024★ 13 cited

Generative AI and Its Impact on Personalized Intelligent Tutoring Systems

Subhankar Maity, Aniket Deroy

Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling highly personalized and adaptive learning environments within Intelligent Tutoring Sys…

cs.CL2024

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models

Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity +1

This study investigates judgment prediction in a realistic scenario within the context of Indian judgments, utilizing a range of transformer-based models, including InLegalBERT, BE…

cs.CL2024★ 2 cited

The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models

Subhankar Maity, Aniket Deroy

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapte…

cs.CL2024

MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation

Aniket Deroy, Subhankar Maity, Sudeshna Sarkar

Automatic question generation is a critical task that involves evaluating question quality by considering factors such as engagement, pedagogical value, and the ability to stimulat…

cs.CL2024

Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B

Aniket Deroy, Subhankar Maity

Code generation by Llama 3.1 models, such as Meta's Llama 3.1 405B, represents a significant advancement in the field of artificial intelligence, particularly in natural language p…

cs.CL2024★ 3 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.CL2024

How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

We evaluate the effectiveness of GPT-4 Turbo in generating educational questions from NCERT textbooks in zero-shot mode. Our study highlights GPT-4 Turbo's ability to generate ques…

cs.CL2024

How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

Grammatical error correction (GEC) tools, powered by advanced generative artificial intelligence (AI), competently correct linguistic inaccuracies in user input. However, they ofte…

cs.AI2024★ 1 cited

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.CL2024★ 4 cited

Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education…

cs.CL2024

A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

We introduce a multi-stage prompting approach (MSP) for the generation of multiple choice questions (MCQs), harnessing the capabilities of GPT models such as text-davinci-003 and G…