6 citations · 20 across the 7 of their papers we have counts for
7 papers
Med-CoDE: Medical Critique based Disagreement Evaluation Framework
Mohit Gupta, Akiko Aizawa, Rajiv Ratn Shah
The emergence of large language models (LLMs) has significantly influenced numerous fields, including healthcare, by enhancing the capabilities of automated systems to process and…
Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
Avinash Anand, Kritarth Prasad, Chhavi Kirtani +6
Large Language Models (LLMs) have demonstrated strong capabilities in text-based tasks but struggle with the complex reasoning required for physics problems, particularly in advanc…
Context-Enhanced Language Models for Generating Multi-Paper Citations
Avinash Anand, Kritarth Prasad, Ujjwal Goel +4
Citation text plays a pivotal role in elucidating the connection between scientific documents, demanding an in-depth comprehension of the cited paper. Constructing citations is oft…
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
Avinash Anand, Mohit Gupta, Kritarth Prasad +5
The rapid progress in the field of natural language processing (NLP) systems and the expansion of large language models (LLMs) have opened up numerous opportunities in the field of…
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content
Avinash Anand, Raj Jaiswal, Pijush Bhuyan +5
The automatic recognition of tabular data in document images presents a significant challenge due to the diverse range of table styles and complex structures. Tables offer valuable…
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization
Avinash Anand, Raj Jaiswal, Mohit Gupta +7
Large ground-truth datasets and recent advances in deep learning techniques have been useful for layout detection. However, because of the restricted layout diversity of these data…