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Jian-Tao Qiu

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Preprint Nov 2026

SelfImprove-Bench: Evaluating Generalization in Self-Improving Agents

Recursively self-improving (RSI) systems are increasingly viewed as a promising means of accelerating progress toward artificial general intelligence. They aim to autonomously improve their capabilities by refining their working pipelines and recursively improving the strategies that guide subsequent refinements, with...

Bang-Rui Xu, Jie Yang, Si-Di Chen et al. · 0 citations
#artificial intelligence Review Sep 2026

Atria Dawn: The Dawn of Agentic Superintelligence

Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.

Honglin Guo, Tao Gui, Kun Cai et al. · 0 citations
#artificial intelligence Preprint Sep 2026

The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

This work uses the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, and introduces the RSI concept and its development roadmap: from improvement-execution autonomy, improvement-strategy autonomy, experience-acquisition autonomy, and environment-adaptation autonomy, to recursive meta-improvement.

Yi-Xiang Duan, Ying Liu, Zi-Rui Tang et al. · 10 citations · ⚡3
#natural language process... Preprint Sep 2026

DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents

D DianShi-RxnDB is presented, a large-scale, fine-grained organic reaction data platform built via a fully automated extraction and normalization pipeline integrating patent text, images, and reaction schemes integrating patent text, images, and reaction schemes.

Yu-Bin Wang, Xing-Jian Wei, Jiang Wu et al. · 0 citations

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