7 citations · 20 across the 15 of their papers we have counts for
4 papers · 1 filter
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Joykirat Singh, Akshay Nambi, Vibhav Vineet
Large Language Models (LLMs) have been applied to Math Word Problems (MWPs) with transformative impacts, revolutionizing how these complex problems are approached and solved in var…
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
Somnath Kumar, Yash Gadhia, Tanuja Ganu +1
Recent advancements in Multi-modal Large Language Models (MLLMs) have significantly improved their performance in tasks combining vision and language. However, challenges persist i…
PromptWizard: Task-Aware Prompt Optimization Framework
Eshaan Agarwal, Joykirat Singh, Vivek Dani +3
Large language models (LLMs) have transformed AI across diverse domains, with prompting being central to their success in guiding model outputs. However, manual prompt engineering…
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
Somnath Kumar, Vaibhav Balloli, Mercy Ranjit +5
Large language models (LLMs) have revolutionized various domains but still struggle with non-Latin scripts and low-resource languages. This paper addresses the critical challenge o…