Failure-Centered Runtime Evaluation for Deployed Trilingual Public-Space Agents
📰 ArXiv cs.AI
Learn to evaluate deployed trilingual public-space agents using a failure-centered runtime evaluation framework, improving their performance and reliability
Action Steps
- Implement PSA-Eval framework to shift evaluation focus from score to failure
- Run batch processing to identify potential failure cases
- Analyze failure cases to determine root causes
- Apply repair strategies to address identified failures
- Test and regress the system to ensure fixes are effective
Who Needs to Know This
AI engineers and researchers working on public-space agents can benefit from this framework to identify and repair failures, ensuring more efficient and effective deployment
Key Insight
💡 Failure-centered evaluation can improve the reliability and performance of deployed public-space agents
Share This
🚀 Evaluate deployed trilingual public-space agents with PSA-Eval, a failure-centered runtime framework #AI #PublicSpaceAgents
Key Takeaways
Learn to evaluate deployed trilingual public-space agents using a failure-centered runtime evaluation framework, improving their performance and reliability
Full Article
Title: Failure-Centered Runtime Evaluation for Deployed Trilingual Public-Space Agents
Abstract:
arXiv:2604.23990v1 Announce Type: new Abstract: This paper presents PSA-Eval, a failure-centered runtime evaluation framework for deployed trilingual public-space agents. The central claim is that, when the evaluation object shifts from a static input-output mapping to a runtime system, the basic unit of analysis should shift from score to failure. PSA-Eval extends the conventional chain Question -> Answer -> Score -> End into Question -> Batch -> Run -> Score -> Failure Case -> Repair -> Regres
Abstract:
arXiv:2604.23990v1 Announce Type: new Abstract: This paper presents PSA-Eval, a failure-centered runtime evaluation framework for deployed trilingual public-space agents. The central claim is that, when the evaluation object shifts from a static input-output mapping to a runtime system, the basic unit of analysis should shift from score to failure. PSA-Eval extends the conventional chain Question -> Answer -> Score -> End into Question -> Batch -> Run -> Score -> Failure Case -> Repair -> Regres
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