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20242026
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cs.AI2026

Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

Peng Cui, Jitao Wang, Siyan Xue +40

Hepatocellular carcinoma (HCC) is a common malignancy and a leading cause of cancer-related mortality. Current guidelines and staging systems provide coarse categories, but often m…

cs.AI2026

Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

Yichi Zhang, Nabeel Seedat, Yinpeng Dong +3

As LLM-powered agents have been used for high-stakes decision-making, such as clinical diagnosis, it becomes critical to develop reliable verification of their decisions to facilit…

cs.AI2026

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention

Yichi Zhang, Yue Ding, Jingwen Yang +7

Although Large Reasoning Models (LRMs) have progressed in solving complex problems, their chain-of-thought (CoT) reasoning often contains harmful content that can persist even when…

cs.AI2025

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Hang Su, Jun Luo, Chang Liu +4

Recent advances in large language models (LLMs) have catalyzed the rise of autonomous AI agents capable of perceiving, reasoning, and acting in dynamic, open-ended environments. Th…

cs.AI2025

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments

Xiao Yang, Jiawei Chen, Jun Luo +4

The emergence of multimodal LLM-based agents (MLAs) has transformed interaction paradigms by seamlessly integrating vision, language, action and dynamic environments, enabling unpr…