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A robotics engineer from Hugging Face proposes mapping human facial expressions onto non-humanoid robots to enhance expressiveness while avoiding the uncanny valley, with plans to use this data for autonomous body language training.
WavAlign introduces a modality-aware adaptive post-training method that uses constrained preference updates and explicit anchoring to boost both semantic quality and speech expressiveness in end-to-end spoken dialogue models.