Search Results for author: Xinyuan Cheng

Found 2 papers, 1 papers with code

Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom

no code implementations30 Apr 2024 Shisen Yue, Siyuan Song, Xinyuan Cheng, Hai Hu

While all models generate largely fluent and self-consistent text, their explanations score low on reasonability except for GPT-4, suggesting that most LLMs cannot produce satisfactory explanations of the implicatures in the conversation.

Implicatures Multiple-choice

ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models

2 code implementations16 Apr 2023 Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu

To address these challenges in English language teaching, we first present ArguGPT, a balanced corpus of 4, 038 argumentative essays generated by 7 GPT models in response to essay prompts from three sources: (1) in-class or homework exercises, (2) TOEFL and (3) GRE writing tasks.

Sentence

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