3 papers
cs.AI2026
Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
Changyue Jiang, Wenqi Zhang, Xudong Pan +2
LLM-based agents solve complex tasks through iterative reasoning, tool use, and environment interaction, where each intermediate thought directly shapes subsequent actions. Small d…
cs.AI2026
MirrorGuard: Toward Secure Computer-Use Agents via Simulation-to-Real Reasoning Correction
Wenqi Zhang, Yulin Shen, Changyue Jiang +3
Large foundation models are integrated into Computer Use Agents (CUAs), enabling autonomous interaction with operating systems through graphical user interfaces (GUIs) to perform c…
cs.CR2025
Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications
Changyue Jiang, Xudong Pan, Geng Hong +3
Retrieval-Augmented Generation (RAG) expands the knowledge boundary of large language models (LLMs) by integrating external knowledge bases, whose construction is often time-consum…