3 papers
cs.CV2026
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning
Kalpana Panda, Wesley Maia, Vinti Agarwal +1
End-to-end autonomous driving models are now able to navigate complex road scenarios, mapping raw sensor observations directly to observed paths for open-loop evaluation and often…
cs.RO2026
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
Nishad Sahu, Kalpana Panda, Congyuan Yu +3
Recent end-to-end (E2E) autonomous driving policies achieve high driving scores in closed-loop simulations. Yet it remains unclear whether these policies handle common safety-criti…
cs.CL2025
Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
Vishnu Hari, Kalpana Panda, Srikant Panda +2
Large Language Models (LLMs) routinely infer users demographic traits from phrasing alone, which can result in biased responses, even when no explicit demographic information is pr…