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cs.AI2026
GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic
Tianyuan Zhang, Peng Yue, Zihao Peng +8
Multimodal large language models (MLLMs) are increasingly integrated into autonomous driving (AD) systems; however, they remain vulnerable to diverse safety threats, particularly i…
cs.AI2026
How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study
Moran Sun, Tianlin Li, Yuwei Zheng +4
Emotion plays an important role in human cognition and performance. Motivated by this, we investigate whether analogous emotional signals can shape the behavior of large language m…
cs.AI2025
MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair
Changqing Li, Tianlin Li, Xiaohan Zhang +2
Large Language Models (LLMs) face persistent and evolving trustworthiness issues, motivating developers to seek automated and flexible repair methods that enable convenient deploym…