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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.
Open-weight models can now generate realistic, long-form doctor-patient conversations with corresponding SOAP notes, providing a valuable resource for training and evaluating long-context audio reasoning systems.
