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Changlun Li

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#artificial intelligence Preprint Sep 2026

When Better Gets Worse: Improvement Fidelity for Self-Improving Agents in Adaptive Worlds

PIVOT-KG, a paired, decision-aware validator that allocates scarce high-fidelity evaluation according to the expected reduction in selection regret per unit cost, is introduced, providing a practical rule for allocating scarce deployment evidence when it can affect the replacement decision.

Ke Wang, Zi-Jie Zhao, Zhi-Yi Yuan et al. · 0 citations

Can Agentic Trading Systems Pay for Their Own Intelligence?

TradeLens is introduced, a trace-grounded diagnostic toolkit for evaluating agentic trading systems from their trading records, runtime traces, and deployment configurations, which reframe the evaluation of LLM-based trading agents from capability-centric performance ranking to trace-grounded diagnosis of intelligence-...

Qiqi Duan, Changlun Li, Chen Wang et al. · 0 citations
Jul 2026

NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management

This work introduces NextFund, an evaluation platform that makes financial-agent behavior observable under live market conditions, and presents NextFund on Hong Kong, U.S., and China A-share equities, illustrating how inspectable decision histories enable fairer benchmarking and more actionable diagnosis.

Changlun Li, Peixian Ma, Qiqi Duan et al. · 1 citation

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