3 papers
cs.RO2026
Physics-Grounded Causal Auditing of End-to-End Driving Planners
Zikun Guo, Yuanyuan Li, Minglan Chen +2
End-to-end (E2E) autonomous-driving planners trained by imitation are prone to statistical shortcuts: they associate scene elements that merely co-occur with expert actions (a road…
cs.CV2026
Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
Juangui Xu, Zikun Guo, Jingwei Lv +5
Visual language models (VLMs) have the potential to transform medical workflows. However, the deployment is limited by sycophancy. Despite this serious threat to patient safety, a…
cs.CL2026
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
Wenrui Zhou, Mohamed Hendy, Shu Yang +5
As video large language models (Video-LLMs) become increasingly integrated into real-world applications that demand grounded multimodal reasoning, ensuring their factual consistenc…