Modeling Disclosive Transparency in NLP Application Descriptions

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Modeling Disclosive Transparency in NLP Application Descriptions

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

2 January 2021

Michael Stephen Saxon

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Papers citing "Modeling Disclosive Transparency in NLP Application Descriptions"

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Title
ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales? Fan Huang Haewoon Kwak Kunwoo Park Jisun An ALM ELM AI4MH 244 15 0 26 Mar 2024
Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models Yimu Wang Peng Shi Hongyang Zhang SILM 125 4 0 24 Jul 2023
Users are the North Star for AI Transparency Alex Mei Michael Stephen Saxon Shiyu Chang Zachary Chase Lipton William Yang Wang 150 14 0 09 Mar 2023
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error SynthesisConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Wenda Xu Yi-Lin Tuan Yujie Lu Michael Stephen Saxon Lei Li William Yang Wang 215 24 0 10 Oct 2022