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Silent failures in LLM agents can lead to confident but incorrect outputs, but AgentCheck enables developers to systematically reproduce and mitigate these issues before deployment.
Current cross-lingual models can disastrously invert sentiment when translating between English and Bengali, with one model flipping positive intent to negative nearly 30% of the time.
