3 papers
cs.AI2026
Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models
Shubham Kumar, Narendra Ahuja
Safety trained large language models (LLMs) can often be induced to answer harmful requests through jailbreak prompts. Because we lack a robust understanding of why LLMs are suscep…
cs.CV2026
City Navigation in the Wild: Exploring Emergent Navigation from Web-Scale Knowledge in MLLMs
Dwip Dalal, Utkarsh Mishra, Narendra Ahuja +1
Leveraging multimodal large language models (MLLMs) to develop embodied agents offers significant promise for addressing complex real-world tasks. However, current evaluation bench…
cs.CV2025
Language-driven Description Generation and Common Sense Reasoning for Video Action Recognition
Xiaodan Hu, Chuhang Zou, Suchen Wang +2
Recent video action recognition methods have shown excellent performance by adapting large-scale pre-trained language-image models to the video domain. However, language models con…