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LCLMs redefine the efficiency of long-context inference, achieving superior compression without sacrificing model quality.
Audio models can't do it all: a comprehensive benchmark reveals stark performance trade-offs between acoustic and linguistic understanding, with no single model dominating across diverse audio tasks.