4 citations · 7 across the 10 of their papers we have counts for
11 papers
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 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.…
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…
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…
From Text to Context: An Entailment Approach for News Stakeholder Classification
Alapan Kuila, Sudeshna Sarkar
Navigating the complex landscape of news articles involves understanding the various actors or entities involved, referred to as news stakeholders. These stakeholders, ranging from…
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies
Alapan Kuila, Sudeshna Sarkar
Sentiment analysis plays a pivotal role in understanding public opinion, particularly in the political domain where the portrayal of entities in news articles influences public per…
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
Alapan Kuila, Somnath Jena, Sudeshna Sarkar +1
In today's media landscape, where news outlets play a pivotal role in shaping public opinion, it is imperative to address the issue of sentiment manipulation within news text. News…
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…
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…