collaborators

6 papers

cs.CL2025

EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos

Sourjyadip Ray, Shubham Sharma, Somak Aditya +1

As digital platforms redefine educational paradigms, ensuring interactivity remains vital for effective learning. This paper explores using Multimodal Large Language Models (MLLMs)…

cs.CL2025

Error-Aware Curriculum Learning for Biomedical Relation Classification

Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal

Relation Classification (RC) in biomedical texts is essential for constructing knowledge graphs and enabling applications such as drug repurposing and clinical decision-making. We…

cs.CL2025

Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs

Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray +7

Text Generation has achieved remarkable performance using large language models. It has also been recently well-studied that these large language models are capable of creative gen…

cs.CL2025

Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry

Sujeet Kumar, Pretam Ray, Abhinay Beerukuri +3

Sanskrit, an ancient language with a rich linguistic heritage, presents unique challenges for automatic speech recognition (ASR) due to its phonemic complexity and the phonetic tra…

cs.CL2025

Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents

Manoj Balaji Jagadeeshan, Prince Raj, Pawan Goyal

The study presents a comprehensive benchmark for retrieving Sanskrit documents using English queries, focusing on the chapters of the Srimadbhagavatam. It employs a tripartite appr…

cs.CL2025

REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback

Aniruddha Roy, Pretam Ray, Abhilash Nandy +2

Instruction-based Large Language Models (LLMs) have proven effective in numerous few-shot or zero-shot Natural Language Processing (NLP) tasks. However, creating human-annotated in…