TuringAdvice: A Generative and Dynamic Evaluation of Language Use
Rowan Zellers♠ Ari Holtzman♠ Elizabeth Clark♠ Lianhui Qin♠ Ali Farhadi♠ Yejin Choi♠♡ ♠Paul G. Allen School of Computer Science、Engineering, University of Washington ♡Allen Institute for Artificial Intelligence rowanzellers.com/advice
Abstract
We propose TuringAdvice, a new challenge task and dataset for language understanding models. Given a written situation that a real person is currently facing, a model must generate helpful advice in natural language. Our evaluation framework tests a fundamental aspect of human language understanding: our ability to use language to resolve open-ended situations by communicating with each other.
原文 arXiv:2004.03607;中英对照 + 大白话阅读 https://aha.fim.ai/paper/2004.03607v2