1 citations · 1 across the 8 of their papers we have counts for
9 papers
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)…
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…
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…
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…
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…
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…
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments
Sourjyadip Ray, Kushal Gupta, Soumi Kundu +3
The global shortage of healthcare workers has demanded the development of smart healthcare assistants, which can help monitor and alert healthcare workers when necessary. We examin…
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
Pretam Ray, Jivnesh Sandhan, Amrith Krishna +1
Neural dependency parsing has achieved remarkable performance for low resource morphologically rich languages. It has also been well-studied that morphologically rich languages exh…
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…