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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

ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams

ReactBench is introduced, a benchmark that reveals fundamental limitations in structural reasoning through chemical reaction diagrams and exposes a fundamental deficit in structural understanding and establishes directions for advancing visual reasoning.

Qiang Xu, Sheng-Yuan Bai, Yu Wang et al. · 0 citations

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