新趋势:用户何时可以信任 GPT,何时应该进行干预?

IF 2.3 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Natural Language Engineering Pub Date : 2024-01-16 DOI:10.1017/s1351324923000578
Kenneth Church
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引用次数: 0

摘要

大型语言模型和聊天机器人的使用量几乎肯定会继续增长,因为它们非常容易使用,而且非常可信。如果我们能鼓励更多的评估,让人类参与其中,从而更好地确定何时可以信任机器,何时应该由人类介入,那么我将会更乐于接受这一现实。本文将介绍一项家庭作业,我要求学生使用聊天机器人和网络搜索等工具撰写一些文章。即使在课堂上对幻觉进行了大量讨论,许多文章还是充满了本应进行事实核查的错误信息。显然,相信 ChatGPT 比持怀疑态度更容易。事实核查和网络搜索太麻烦了。
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Emerging trends: When can users trust GPT, and when should they intervene?

Usage of large language models and chat bots will almost surely continue to grow, since they are so easy to use, and so (incredibly) credible. I would be more comfortable with this reality if we encouraged more evaluations with humans-in-the-loop to come up with a better characterization of when the machine can be trusted and when humans should intervene. This article will describe a homework assignment, where I asked my students to use tools such as chat bots and web search to write a number of essays. Even after considerable discussion in class on hallucinations, many of the essays were full of misinformation that should have been fact-checked. Apparently, it is easier to believe ChatGPT than to be skeptical. Fact-checking and web search are too much trouble.

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来源期刊
Natural Language Engineering
Natural Language Engineering COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
12.00%
发文量
60
审稿时长
>12 weeks
期刊介绍: Natural Language Engineering meets the needs of professionals and researchers working in all areas of computerised language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics - from text analysis, machine translation, information retrieval and speech analysis and generation to integrated systems and multi modal interfaces - it also publishes special issues on specific areas and technologies within these topics, an industry watch column and book reviews.
期刊最新文献
Start-up activity in the LLM ecosystem Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis Automated annotation of parallel bible corpora with cross-lingual semantic concordance How do control tokens affect natural language generation tasks like text simplification Emerging trends: When can users trust GPT, and when should they intervene?
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