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Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing works study the virtual personalities of LLMs but rarely…

Computation and Language · Computer Science 2023-10-16 Haocong Rao , Cyril Leung , Chunyan Miao

Pre-trained code models have emerged as crucial tools in various code intelligence tasks. However, their effectiveness depends on the quality of the pre-training dataset, particularly the human reference comments, which serve as a bridge…

Software Engineering · Computer Science 2023-12-27 Kang Yang , Xinjun Mao , Shangwen Wang , Tanghaoran Zhang , Bo Lin , Yanlin Wang , Yihao Qin , Zhang Zhang , Xiaoguang Mao

Mathematical questioning is crucial for assessing students problem-solving skills. Since manually creating such questions requires substantial effort, automatic methods have been explored. Existing state-of-the-art models rely on…

Computation and Language · Computer Science 2024-02-29 Phuoc Pham Van Long , Duc Anh Vu , Nhat M. Hoang , Xuan Long Do , Anh Tuan Luu

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…

Computation and Language · Computer Science 2023-04-10 Aman Rangapur , Haoran Wang

This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in annotating MT outputs based on an error typology. In contrast to previous work focusing mainly on general language, we explore ChatGPT's…

Computation and Language · Computer Science 2025-04-22 Joachim Minder , Guillaume Wisniewski , Natalie Kübler

Purpose: Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task. Design/methodology/approach: Test the extent to which ChatGPT-4 can assess the quality of…

Digital Libraries · Computer Science 2024-05-01 Mike Thelwall

Extractive summarization is a crucial task in natural language processing that aims to condense long documents into shorter versions by directly extracting sentences. The recent introduction of large language models has attracted…

Computation and Language · Computer Science 2023-10-11 Haopeng Zhang , Xiao Liu , Jiawei Zhang

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

The increasing use of large language models (LLMs) in natural language processing (NLP) tasks has sparked significant interest in evaluating their effectiveness across diverse applications. While models like ChatGPT and DeepSeek have shown…

Computation and Language · Computer Science 2025-08-12 Wael Etaiwi , Bushra Alhijawi

Large language models (LLMs) like ChatGPT are increasingly used in academic writing, yet issues such as incorrect or fabricated references raise ethical concerns. Moreover, current content quality evaluations often rely on subjective human…

Computation and Language · Computer Science 2025-09-15 Jing Ren , Weiqi Wang

The growing popularity of neural machine translation (NMT) and LLMs represented by ChatGPT underscores the need for a deeper understanding of their distinct characteristics and relationships. Such understanding is crucial for language…

Computation and Language · Computer Science 2024-10-15 Zhaokun Jiang , Qianxi Lv , Ziyin Zhang , Lei Lei

Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-centered principles when utilizing these models.…

Computation and Language · Computer Science 2023-06-21 Yue Huang , Qihui Zhang , Philip S. Y , Lichao Sun

Unit testing is essential in detecting bugs in functionally-discrete program units. Manually writing high-quality unit tests is time-consuming and laborious. Although traditional techniques can generate tests with reasonable coverage, they…

Software Engineering · Computer Science 2024-05-21 Zhiqiang Yuan , Yiling Lou , Mingwei Liu , Shiji Ding , Kaixin Wang , Yixuan Chen , Xin Peng

Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs in causal reasoning. In this paper, we conduct the first…

Computation and Language · Computer Science 2023-10-13 Jinglong Gao , Xiao Ding , Bing Qin , Ting Liu

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

Computation and Language · Computer Science 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

Large Language Models (LLMs) have recently shown impressive abilities in handling various natural language-related tasks. Among different LLMs, current studies have assessed ChatGPT's superior performance across manifold tasks, especially…

The release of the large language model based chatbot ChatGPT in November 2022 has brought considerable attention to the subject of artificial intelligence, not only in the public. From the perspective of higher education, ChatGPT…

Computers and Society · Computer Science 2023-11-29 Nicolas Schwenke , Heinrich Söbke , Eckhard Kraft

ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there is currently a dearth of comprehensive study exploring its…

Computation and Language · Computer Science 2023-04-05 Tao Fang , Shu Yang , Kaixin Lan , Derek F. Wong , Jinpeng Hu , Lidia S. Chao , Yue Zhang

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and generation. Thus, in…

Computation and Language · Computer Science 2023-04-24 Yuan Gao , Ruili Wang , Feng Hou