Author

Zhenlong Yuan

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Preprint Oct 2026

X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning

Chest X-ray (CXR) interpretation often requires integrating visual findings with task-specific evidence rather than relying on direct visual recognition alone. While tool-augmented medical agents can supply such evidence via external modules, they often lack explicit mechanisms for learning when auxiliary evidence is n...

Yi Wang, Zhenlong Yuan, Yu-Chan Guo et al. · 0 citations

#artificial intelligence May 2026

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

Concentrate and Concentrate (CaC) is a coarse-to-fine anomaly reward model based on Vision-Language Models that first conducts a global temporal scan to anchor anomalous time windows, then performs fine-grained spatial grounding within the localized interval, and finally derives robust judgments via structured spatiote...

Jiyuan Wang, Huan Ouyang, Jiu-Zhou Lin et al. · arXiv.org · 5 citations

Review Jul 2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

A user-centric framework for systematically auditing system prompts in AI systems, AISPA is introduced, a user-centric framework for systematically auditing system prompts in AI systems that examines specific parts of a system prompt and evaluates them along eight dimensions that matter to users.

Xiangning Lin, Shenzhe Zhu, Shu Yang et al. · arXiv.org · 0 citations