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National Taiwan University
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CAAD achieves an 8% performance boost in speech language models while slashing inference latency and linguistic bias.
Contrastive Decoding's power-up for audio language models hinges on fixing specific error types, like uncertainty and audio absence, but don't expect it to magically fix flawed reasoning.
