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papersTODAY 04:00 UTC

CLQT benchmark targets diagnostic evaluation of LLM portfolio-management agents

A new arXiv paper introduces CLQT, a closed-loop, cost-aware and strategy-consistent benchmark for evaluating LLM agents that manage investment portfolios. The authors argue that ranking agents by returns over a fixed window fails to show whether their process is sound or their performance durable, and propose a diagnostic alternative. The work is cross-listed in cs.AI and cs.LG as a replacement submission.

arXiv CLQT LLM evaluation cs.AI cs.LG llm-portfolio-management-agents

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AICLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents ↗TODAY 04:00 UTC

arXiv cs.LGCLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents ↗TODAY 04:00 UTC