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Situated Natural Language Explanations
March 26, 2024, 4:51 a.m. | Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
cs.CL updates on arXiv.org arxiv.org
Abstract: Natural language is among the most accessible tools for explaining decisions to humans, and large pretrained language models (PLMs) have demonstrated impressive abilities to generate coherent natural language explanations (NLE). The existing NLE research perspectives do not take the audience into account. An NLE can have high textual quality, but it might not accommodate audiences' needs and preference. To address this limitation, we propose an alternative perspective, \textit{situated} NLE. On the evaluation side, we set …
abstract arxiv audience cs.cl decisions generate humans language language models natural natural language perspectives quality research textual tools type
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