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A reproducible pipeline converts public Zoom recordings into speaker-attributed transcripts enriched with personas, topics, and action tags, then fine-tunes LLM personas on this data. Action-aware fine-tuning significantly improves persona fidelity, consistency, and deliberative responsiveness, enabling realistic civic deliberation simulations.
TouchThinker introduces a million-scale tactile reasoning dataset and benchmark to scale tactile commonsense reasoning to open-world settings, using action-aware representation for efficient reasoning.