3 papers
stat.ML2026
Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
Xinping Yi, Gaojie Jin, Xiaowei Huang +1
Understanding the generalization behavior of deep neural networks remains a fundamental challenge in modern statistical learning theory. Among existing approaches, PAC-Bayesian nor…
cs.CV2024
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent
Linfeng He, Yiming Sun, Sihao Wu +2
In this paper, we propose a novel framework for enhancing visual comprehension in autonomous driving systems by integrating visual language models (VLMs) with additional visual per…
cs.RO2024
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
Sihao Wu, Jiaxu Liu, Xiangyu Yin +5
The integration of Large Language Models (LLMs) into autonomous driving systems demonstrates strong common sense and reasoning abilities, effectively addressing the pitfalls of pur…