4 citations · 6 across the 4 of their papers we have counts for
4 papers
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
Debnath Kundu, Atharva Mehta, Rajesh Kumar +4
The transition to online examinations and assignments raises significant concerns about academic integrity. Traditional plagiarism detection systems often struggle to identify inst…
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
Avinash Anand, Janak Kapuriya, Apoorv Singh +5
While Large Language Models (LLMs) can achieve human-level performance in various tasks, they continue to face challenges when it comes to effectively tackling multi-step physics r…
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…