Author

Ying Xiao

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#artificial intelligence Review Jan 2026

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

This survey synthesizes agentic reasoning methods into a unified roadmap bridging thought and action, and outlines open challenges and future directions, including personalization, long-horizon interaction, world modeling, scalable multi-agent training, and governance for real-world deployment.

Tian-Xin Wei, Ting-Wei Li, Zhining Liu et al. · 39 citations · ⚡6

Open access Jul 2026

Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs.

Five widely used prompting strategies across five influential LLMs in the latest medical bias benchmark reveal substantial heterogeneity in both effectiveness and overhead across models, with no strategy proving universally effective and some even exacerbating bias.

Ying Xiao, Zhenpeng Chen, Jie M. Zhang · Philosophical transactions.... · 1 citation