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相关论文: ChatGPT Hallucinates when Attributing Answers

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ChatGPT has gained a huge popularity since its introduction. Its positive aspects have been reported through many media platforms, and some analyses even showed that ChatGPT achieved a decent grade in professional exams, adding extra…

计算与语言 · 计算机科学 2023-11-15 Myeongjun Erik Jang , Thomas Lukasiewicz

The emergence of ChatGPT has been rapid, and although it has demonstrated positive impacts in certain domains, its influence is not universally advantageous. Our analysis focuses on ChatGPT's capabilities in Mathematics Education,…

计算与语言 · 计算机科学 2023-06-29 Eli Bagno , Thierry Dana-Picard , Shulamit Reches

The performance of text summarization has been greatly boosted by pre-trained language models. A main concern of existing methods is that most generated summaries are not factually inconsistent with their source documents. To alleviate the…

计算与语言 · 计算机科学 2023-04-14 Zheheng Luo , Qianqian Xie , Sophia Ananiadou

The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The…

其他计算机科学 · 计算机科学 2023-08-15 Ioannis D. Apostolopoulos , Mpesi Tzani , Sokratis I. Aznaouridis

Human cognitive performance is enhanced by the use of tools. For example, a human can produce a much greater, and more accurate, volume of mathematical calculation in a unit of time using a calculator or a spreadsheet application on a…

人机交互 · 计算机科学 2024-01-23 Ron Fulbright , Miranda Morrison

ChatGPT has shown its great power in text processing, including its reasoning ability from text reading. However, there has not been any direct comparison between human readers and ChatGPT in reasoning ability related to text reading. This…

计算与语言 · 计算机科学 2023-11-20 Tongquan Zhou , Yao Zhang , Siyi Cao , Yulu Li , Tao Wang

Current large language models (LLMs) can exhibit near-human levels of performance on many natural language tasks, including open-domain question answering. Unfortunately, they also convincingly hallucinate incorrect answers, so that…

信息检索 · 计算机科学 2023-06-27 Siqing Huo , Negar Arabzadeh , Charles L. A. Clarke

State-of-the-art language models (LMs) are notoriously susceptible to generating hallucinated information. Such inaccurate outputs not only undermine the reliability of these models but also limit their use and raise serious concerns about…

计算与语言 · 计算机科学 2024-03-21 Ayush Agrawal , Mirac Suzgun , Lester Mackey , Adam Tauman Kalai

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

计算与语言 · 计算机科学 2026-02-12 Liz Li , Wei Zhu

This study examines ChatGPT-4's capability to replicate linguistic strategies used in political discourse, focusing on its potential for manipulative language generation. As large language models become increasingly popular for text…

计算与语言 · 计算机科学 2025-12-05 Davide Garassino , Nicola Brocca , Viviana Masia

Prompt design plays a crucial role in shaping the efficacy of ChatGPT, influencing the model's ability to extract contextually accurate responses. Thus, optimal prompt construction is essential for maximizing the utility and performance of…

软件工程 · 计算机科学 2024-02-08 Saikat Mondal , Suborno Deb Bappon , Chanchal K. Roy

This study explores how generative artificial intelligence, specifically ChatGPT, can assist in the evaluation of laboratory reports in Experimental Physics. Two interaction modalities were implemented: an automated API-based evaluation and…

物理教育 · 物理学 2026-03-24 Marcos Abreu , Álvaro Suárez , Cecilia Stari , Arturo C. Marti

This study explores how generative artificial intelligence, specifically ChatGPT, can assist in the evaluation of laboratory reports in Experimental Physics. Two interaction modalities were implemented: an automated API-based evaluation and…

物理教育 · 物理学 2025-10-21 Marcos Abreu , Álvaro Suárez , Cecilia Stari , Arturo C. Marti

Large language models (LLMs), such as ChatGPT, are prone to generate hallucinations, i.e., content that conflicts with the source or cannot be verified by the factual knowledge. To understand what types of content and to which extent LLMs…

计算与语言 · 计算机科学 2023-10-24 Junyi Li , Xiaoxue Cheng , Wayne Xin Zhao , Jian-Yun Nie , Ji-Rong Wen

The text generated by large language models is commonly controlled by prompting, where a prompt prepended to a user's query guides the model's output. The prompts used by companies to guide their models are often treated as secrets, to be…

计算与语言 · 计算机科学 2024-08-09 Yiming Zhang , Nicholas Carlini , Daphne Ippolito

Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recent chatbots based on LLMs, ChatGPT and Bard have made it…

This paper investigates how generative AI produces and propagates hallucinated academic references, focusing on the recurring non-existent citation 'Education Governance and Datafication' attributed to Ben Williamson and Nelli Piattoeva.…

数字图书馆 · 计算机科学 2026-04-21 Dirk HR Spennemann

Large Language Models (LLMs), such as ChatGPT, are quickly advancing AI to the frontiers of practical consumer use and leading industries to re-evaluate how they allocate resources for content production. Authoring of open educational…

计算机与社会 · 计算机科学 2023-02-15 Zachary A. Pardos , Shreya Bhandari

This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges -- summarization, and…

机器学习 · 计算机科学 2022-12-27 David Noever , Matt Ciolino

Generative AI is changing the way in which humans seek to find answers to questions in different fields including on the gig economy and labour markets, but there is limited information available about closely ChatGPT simulated output…

计算机与社会 · 计算机科学 2024-02-06 Thomas Lancaster