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CARGO: Context-Aware Retrieval-Gated Evaluation of Agentic AI in Production
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose CARGO to fix reference-instance divergence when using LLM judges on dynamic systems like support accounts.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 28 September 2026
- Collected by OneBench
- 29 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.30471v1 Announce Type: new Abstract: Reference-based LLM-as-a-judge evaluation assumes the reference answer is the target. In deployed agentic systems that operate over dynamic entities (support…
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OneBench interpretation
Institutional assessment
So what
Standard LLM evaluation metrics misclassify valid agentic outputs as hallucinations when processing dynamic financial case data.
Do what
Review agentic evaluation techniques with the team responsible for model validation.