12 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…
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…
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…
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…