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20242026
most citedLLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection

1 citations · 1 across the 6 of their papers we have counts for

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cs.AI2026

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents

Bo Qu, Mingguang Chen

LLM agents are increasingly cast as autonomous portfolio managers, yet the dominant evaluation idiom, a leaderboard of returns over a fixed window, certifies neither the soundness…

cs.AI2026

InvestPhilBench: A Multi-Layer Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy

Mingguang Chen, Bo Qu

Large language models are increasingly deployed as investment research assistants, yet no benchmark tests whether they can accurately reconstruct and apply the specific procedural…

cs.AI2026

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops

Mingguang Chen, Licheng Wang, Bo Qu

AI systems increasingly participate in their own improvement: revising their outputs, adapting their harnesses during deployment, training on data they generate, and conducting AI…