#deterministic-testing News & Analysis

2 articles tagged with #deterministic-testing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 237/10

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GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation

GroundEval introduces a deterministic framework for evaluating AI agents by auditing their evidence retrieval and reasoning paths rather than relying on LLM judges. The tool detected a critical failure case where frontier LLM judges scored an agent response above 0.85, but the actual trace revealed the agent never retrieved the artifact it cited, yielding a GroundEval score of 0.000.

AINeutralarXiv – CS AI · Jun 116/10

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Layer-Isolated Evaluation: Gating the Deterministic Scaffold of a Production LLM Agent with a No-LLM, Regression-Locked Test Harness

Researchers present layer-isolated evaluation, a deterministic testing framework that decomposes LLM agents into eight functional layers, each validated independently without requiring LLM execution. Testing across 238 cases reveals that aggregate end-to-end metrics mask localized regressions, with targeted layer failures causing 25-91 percentage point drops in component-specific tests while barely affecting overall pass rates.