13 citations · 29 across the 24 of their papers we have counts for
24 papers
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation
Aniket Deroy, Subhankar Maity
Automatically assessing question quality is crucial for educators as it saves time, ensures consistency, and provides immediate feedback for refining teaching materials. We propose…
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
This research paper presents a comprehensive analysis of the performance of prominent pre-trained large language models (LLMs), including GPT-4 Turbo, GPT-3.5 Turbo, text-davinci-0…
Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models
Subhankar Maity, Aniket Deroy
We propose a novel three-step prompt-tuning method for Bengali Grammatical Error Explanation (BGEE) using state-of-the-art large language models (LLMs) such as GPT-4, GPT-3.5 Turbo…
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
Question generation in education is a time-consuming and cognitively demanding task, as it requires creating questions that are both contextually relevant and pedagogically sound.…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…