natural-language-processing-10
Rules-of-thumb Generation
3260 papers • 126 benchmarks • 313 datasets
Generate relevant rules-of-thumb given text input.
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ProsocialDialog: A Prosocial Backbone for Conversational Agents
Yejin Choi, Ximing Lu, Liwei Jiang, Maarten Sap, Daniel Khashabi, Hyunwoo Kim, Youngjae Yu, Gunhee Kim•Tue May 24 2022
This work introduces ProsocialDialog, the first large-scale multi-turn dialogue dataset to teach conversational agents to respond to problematic content following social norms, and introduces a dialogue safety detection module, Canary, capable of generating RoTs given conversational context, and a socially-informed dialogue agent, Prost.