no code implementations • 19 May 2024 • 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.
1 code implementation • 13 Jan 2024 • 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 GPT-4, renowned for their excellence across various NLP tasks.
1 code implementation • 17 Dec 2023 • Aniket Deroy, Subhankar Maity
Vaccination is important to minimize the risk and spread of various diseases.
no code implementations • 2 Dec 2023 • 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.
1 code implementation • 2 Dec 2023 • Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
We carefully annotate this dataset as quadruples of 1) Context: a segment upon which the question is formed; 2) Long Prompt: a long textual cue for the question (i. e., a longer sequence of words or phrases, covering the main theme of the context); 3) Short Prompt: a short textual cue for the question (i. e., a condensed representation of the key information or focus of the context); 4) Question: a deep question that aligns with the context and is coherent with the prompts.
no code implementations • 1 Dec 2023 • 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 summaries.