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University of Louisville
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AgentLocate reveals not just which agent failed, but also the critical moment when the system first went off track, outperforming traditional methods in efficiency and accuracy.
LLMs can misclassify harmless rephrasings as critical errors, but a new lightweight metric outperforms larger models in clinical significance evaluation.
Encoder-free speech modeling can rival traditional methods, challenging the necessity of dedicated speech encoders in LLM architectures.