✨Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention
📝 Summary:
High offline accuracy in LLM critics does not guarantee effective deployment and can even degrade performance due to a disruption-recovery tradeoff. A small pilot test can predict whether intervention will help or harm, primarily preventing severe regressions before deployment.
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.03338
• PDF: https://arxiv.org/pdf/2602.03338
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AISafety #MachineLearning #AIStrategy #Reliability
📝 Summary:
High offline accuracy in LLM critics does not guarantee effective deployment and can even degrade performance due to a disruption-recovery tradeoff. A small pilot test can predict whether intervention will help or harm, primarily preventing severe regressions before deployment.
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.03338
• PDF: https://arxiv.org/pdf/2602.03338
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AISafety #MachineLearning #AIStrategy #Reliability