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From the 1 of 10 linked papers with an AI index.

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10 papers

cs.AI2026

GuideSkill: Evolving Executable LLM Agent Skills for Guideline-Grounded Clinical Reasoning

Lang Cao, Yuhao Shen, Tianyang Luo +3

GuideSkill adds an external reasoning layer that turns disease guidelines into executable functions, allowing large language models to score diagnostic options and improve clinical…

cs.CL2026

EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World

Qing Zong, Yue Guo, Mengxin Yang +2

This paper introduces EvolvingWorld, a framework and benchmark for character and world co-evolution in interactive literary worlds. Existing systems either treat interactive litera…

cs.CL2026

PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments

Jiaxin Bai, Yue Guo, Yifei Dong +13

World models for interactive text agents must typically be learned from observation-action trajectories alone. Specifically, the environment returns text observations after each ac…

cs.CV2026

Trimming the Long-Tail of Visual World Modeling Evaluation

Bingxuan Li, Yining Hong, Cheng Qian +6

Physical interactions follow a long-tailed distribution: a set of common and regular interactions dominates human experience and visual data, while a broad spectrum of rare and irr…

cs.CL2026

PACT: Learning Diverse Diagnostic Strategies via Privileged Synthesis and Branch Consensus

Gen Li, Yuanze Hu, Zhichao Yang +10

Clinical diagnosis requires flexible use of multiple reasoning paradigms under incomplete patient information. Existing LLM-based medical agents show strong medical reasoning abili…

cs.CL2026

Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning

Zhiwen You, Xi Chen, Aniket Vashishtha +5

Clinical diagnosis is a complex reasoning process in which clinicians gather evidence, form hypotheses, and test them against alternative explanations. In medical training, this re…