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Evaluating Tool-Using Language Agents: Judge Reliability, Propagation Cascades, and Runtime Mitigation in AgentProp-Bench
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research finds automated evaluation of LLM agents is unreliable, with errors propagating through tool-use chains. Benchmarked 9 LLMs.
Open sourceOneBench interpretation
Institutional assessment
So what
This research quantifies the unreliability of automated LLM agent evaluation, directly challenging current assumptions for G-SIBs considering agentic systems for critical workflows.
Do what
The findings on error propagation in LLM agents require immediate review of evaluation methodologies for any agent-based systems being considered for deployment in production.