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cs.AI2026
NEXUS: Continual Learning of Symbolic Constraints for Safe and Robust Embodied Planning
Tiehan Cui, Peipei Liu, Yanxu Mao +3
While Large Language Models (LLMs) have catalyzed progress in embodied intelligence, a fundamental gap between their inherent probabilistic uncertainty and the strict determinism a…
cs.CL2026
Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
Yanxu Mao, Peipei Liu, Tiehan Cui +3
With the widespread application of LLM-based agents across various domains, their complexity has introduced new security threats. Existing red-team methods mostly rely on modifying…