most citedTC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content

6 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani +4

Large Language Models (LLMs) excel in linguistic tasks but struggle with mathematical reasoning, particularly in non English languages like Hindi. This research aims to enhance the…

cs.HC2024

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models

Chayan Tank, Shaina Mehta, Sarthak Pol +4

In recent times, more and more people are posting about their mental states across various social media platforms. Leveraging this data, AI-based systems can be developed that help…

cs.AI2024

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring

Avinash Anand, Raj Jaiswal, Abhishek Dharmadhikari +6

This paper presents GPSM4K, a comprehensive geometry multimodal dataset tailored to augment the problem-solving capabilities of Large Vision Language Models (LVLMs). GPSM4K encompa…

cs.AI2024

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Raj Jaiswal, Dhruv Jain, Harsh Parimal Popat +4

Large Language Models (LLMs) demonstrate remarkable capabilities in various reasoning tasks. However, they encounter significant challenges when it comes to scientific reasoning, p…

cs.CV20246 cited

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…

cs.CV20243 cited

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…