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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.
CLAP-based audio-text matching enables accurate word recognition in aphasic speech, even with disfluencies that stump traditional ASR systems.
Noise augmentation consistently delivers the largest and most robust gains for pathological speech enhancement, outperforming transformative and generative approaches.
