6 citations · 41 across the 26 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Comprehensive Survey of AI-Driven Advancements and Techniques in Automated Program Repair and Code Generation
Avinash Anand, Akshit Gupta, Nishchay Yadav +1
Bug fixing and code generation have been core research topics in software development for many years. The recent explosive growth in Large Language Models has completely transforme…
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
Janak Kapuriya, Chhavi Kirtani, Apoorv Singh +7
Recent advancements in LLMs have shown their significant potential in tasks like text summarization and generation. Yet, they often encounter difficulty while solving complex physi…