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Author

Yiding Wang

Peking University

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#artificial intelligence Preprint Oct 2026

LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets

LiveMACEBench is introduced, a process-aware benchmark that uses live financial markets as a naturally evolving testbed for persistent LLM agents, demonstrating that mechanism access, effective mechanism use, and downstream performance are not interchangeable measures of agent capability.

Jun Zhao, Lei-Ming Fu, Yan Wen 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
#machine learning Preprint Aug 2026

ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?

ContinualSkillBench is introduced, a dynamic evaluation framework for in-context continual skill learning that shows that current in-context skill evolution mechanisms can support continual adaptation, but still struggle to consistently consolidate experience into robust and transferable skills.

Tianyi Guan, Yiding Wang, Haotong Yang et al. · 2 citations

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