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M and, EPFL, Switzerland
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Geometric Latent Reasoning reduces the length of reasoning chains in LLMs, achieving correct answers with fewer steps by leveraging continuous trajectories in embedding space.
LLMs can judge speech recognition quality with near-human accuracy, blowing away traditional metrics like Word Error Rate.
Just 4 hours of speech data closes the modality gap in LLM-based ASR, rivaling full-dataset fine-tuning and unlocking effective domain adaptation.
