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University of Science and Technology
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SpeechAgent-R's ability to adaptively coordinate skills and tools leads to a remarkable 15-point performance boost in complex audio reasoning tasks.
Epistemic flexibility in language models is not tied to their overall capability, challenging assumptions about model performance across tasks. WHY_IT MATTERS: This insight could redefine evaluation metrics for conversational agents, emphasizing the importance of nuanced epistemic responses over general competence.
