3 papers
cs.RO2026
Multimodal Diffusion Forcing for Forceful Manipulation
Zixuan Huang, Huaidian Hou, Dmitry Berenson
Given a dataset of expert trajectories, standard imitation learning approaches typically learn a direct mapping from observations (e.g., RGB images) to actions. However, such metho…
physics.soc-ph2025
Evaluating Parametric Car-Following Models in Naturalistic Congestion: Insights in Driver Behavior and Model Limitations
Huaidian Hou, Arpan Kusari, Brian T. W. Lin
Car-Following is a broadly studied state of driving, and many modeling approaches through various heuristics and engineering methods have been proposed. Congestion is a common traf…
cs.CL2025
Benchmarking and Improving LLM Robustness for Personalized Generation
Chimaobi Okite, Naihao Deng, Kiran Bodipati +3
Recent years have witnessed a growing interest in personalizing the responses of large language models (LLMs). While existing evaluations primarily focus on whether a response alig…