1 citations · 1 across the 6 of their papers we have counts for
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Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
Aniruddha Roy, Pretam Ray, Ayush Maheshwari +2
Neural Machine Translation (NMT) remains a formidable challenge, especially when dealing with low-resource languages. Pre-trained sequence-to-sequence (seq2seq) multi-lingual model…
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…
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…
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval
Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple languages in the Web. One of the s…