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Meta AI & Columbia U ‘Squeeze the Juice’ to Turn Bad Responses into Good Labels and Boost Dialogue Model Performance
Nov. 1, 2022, 10:05 p.m. | Synced
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In the new paper When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels, a research team from Meta AI and Columbia University proposes JUICER, a framework that effectively utilizes binary and textual human feedback to improve the conversational responses of dialogue models.
The post Meta AI & Columbia U ‘Squeeze the Juice’ to Turn Bad Responses into Good Labels and Boost Dialogue Model Performance first appeared on Synced.
ai artificial intelligence deep-neural-networks good labels machine learning machine learning & data science meta meta ai ml performance research responses technology
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