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Learning to clarify: Multi-turn conversations with Action-Based Contrastive Self-Training
We propose Action-Based Contrastive Self-Training, a data-efficient contrastive reinforcement learning tuning approach for improved multi-turn conversation modeling in mixed-initiative …
Full Product UX article at Google Research »
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