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The advent of ChatGPT, a large language model-powered chatbot, has prompted questions about its potential implications for traditional search engines. In this study, we investigate the differences in user behavior when employing search…

人工智能 · 计算机科学 2023-07-04 Ruiyun Xu , Yue Feng , Hailiang Chen

Recently, ChatGPT has attracted great attention, as it can generate fluent and high-quality responses to human inquiries. Several prior studies have shown that ChatGPT attains remarkable generation ability compared with existing models.…

计算与语言 · 计算机科学 2023-03-03 Qihuang Zhong , Liang Ding , Juhua Liu , Bo Du , Dacheng Tao

The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that…

计算与语言 · 计算机科学 2023-01-19 Biyang Guo , Xin Zhang , Ziyuan Wang , Minqi Jiang , Jinran Nie , Yuxuan Ding , Jianwei Yue , Yupeng Wu

Chatbots have long been capable of answering basic questions and even responding to obscure prompts, but recently their improvements have been far more significant. Modern chatbots like Open AIs ChatGPT3 not only have the ability to answer…

计算与语言 · 计算机科学 2023-03-22 Grant Rosario , David Noever

Recently, ChatGPT has attracted great attention from both industry and academia due to its surprising abilities in natural language understanding and generation. We are particularly curious about whether it can achieve promising performance…

计算与语言 · 计算机科学 2023-10-11 Xiancai Xu , Jia-Dong Zhang , Rongchang Xiao , Lei Xiong

This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the prompts advised by ChatGPT to trigger its translation ability…

计算与语言 · 计算机科学 2023-11-03 Wenxiang Jiao , Wenxuan Wang , Jen-tse Huang , Xing Wang , Shuming Shi , Zhaopeng Tu

This paper investigates the empathetic responding capabilities of ChatGPT, particularly its latest iteration, GPT-4, in comparison to human-generated responses to a wide range of emotional scenarios, both positive and negative. We employ a…

人机交互 · 计算机科学 2024-03-12 Anuradha Welivita , Pearl Pu

This paper presents a comprehensive evaluation of the code generation capabilities of ChatGPT, a prominent large language model, compared to human programmers. A novel dataset of 131 code-generation prompts across 5 categories was curated…

软件工程 · 计算机科学 2023-11-07 Muhammad Fawad Akbar Khan , Max Ramsdell , Erik Falor , Hamid Karimi

The use of large language models like ChatGPT in code review offers promising efficiency gains but also raises concerns about correctness and safety. Existing evaluation methods for code review generation either rely on automatic…

软件工程 · 计算机科学 2025-12-18 Robert Heumüller , Frank Ortmeier

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a…

软件工程 · 计算机科学 2023-09-18 Qi Guo , Junming Cao , Xiaofei Xie , Shangqing Liu , Xiaohong Li , Bihuan Chen , Xin Peng

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to…

App reviews are a critical source of user feedback, offering valuable insights into an app's performance, features, usability, and overall user experience. Effectively analyzing these reviews is essential for guiding app development,…

软件工程 · 计算机科学 2025-05-09 Mohit Chaudhary , Chirag Jain , Preethu Rose Anish

Large-scale language models, like ChatGPT, have garnered significant media attention and stunned the public with their remarkable capacity for generating coherent text from short natural language prompts. In this paper, we aim to conduct a…

计算与语言 · 计算机科学 2024-12-11 Dongqi Liu , Vera Demberg

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

Research suggests that providing specific and timely feedback to human tutors enhances their performance. However, it presents challenges due to the time-consuming nature of assessing tutor performance by human evaluators. Large language…

计算与语言 · 计算机科学 2023-07-06 Dollaya Hirunyasiri , Danielle R. Thomas , Jionghao Lin , Kenneth R. Koedinger , Vincent Aleven

Since ChatGPT has emerged as a major AIGC model, providing high-quality responses across a wide range of applications (including software development and maintenance), it has attracted much interest from many individuals. ChatGPT has great…

计算与语言 · 计算机科学 2023-10-24 Arslan Akram

Large language models have demonstrated exceptional capabilities in tasks involving natural language generation, reasoning, and comprehension. This study aims to construct prompts and comments grounded in the diverse scoring criteria…

计算与语言 · 计算机科学 2024-01-09 Wei Xia , Shaoguang Mao , Chanjing Zheng

Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-like summarization evaluation using four human evaluation…

计算与语言 · 计算机科学 2023-04-06 Mingqi Gao , Jie Ruan , Renliang Sun , Xunjian Yin , Shiping Yang , Xiaojun Wan

Large language models have gained considerable interest for their impressive performance on various tasks. Among these models, ChatGPT developed by OpenAI has become extremely popular among early adopters who even regard it as a disruptive…

计算与语言 · 计算机科学 2023-04-10 Aman Rangapur , Haoran Wang

With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim to present a comprehensive study of the detectability of…

计算与语言 · 计算机科学 2024-03-19 Zeyan Liu , Zijun Yao , Fengjun Li , Bo Luo