Author

Wentao Shi

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#natural language process... Preprint Sep 2026

HARDE: Optimizing Agent Harnesses for Runtime Risk Detection and Execution Control

Large language model (LLM) agents are vulnerable to safety risks such as injected malicious instructions or misleading information, motivating runtime defenses that prevent unsafe action in execution across diverse risks while preserving benign-task utility. Existing system-level defenses either focus on risk detection...

Zhuo Liu, Mo-Xin Li, Zhi-Xin Ma et al. · 0 citations

Jul 2026

CAST: Game Solvers as Turn-Level Teachers for LLM Agents

CAST (Credit Assignment from Solver Teachers), which converts value changes in a game solver's state value into solver advantages and injects them into RLVR as turn-level signals and achieves the highest average zero-shot performance on ALFWorld and WebShop.

Yu Wang, Yi-Kai Zhang, Wentao Shi et al. · arXiv.org · 0 citations