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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.AI2026
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
Congying Liu, Taihao Li, Ming Huang +5
Protein analysis tasks arising in healthcare settings often require accurate reasoning under protein sequence constraints, involving tasks such as functional interpretation of dise…