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ChatGPT, GPT-3.5, and other large language models (LLMs) have drawn significant attention since their release, and the abilities of these models have been investigated for a wide variety of tasks. In this research we investigate to what…

计算与语言 · 计算机科学 2023-12-22 Rayden Tseng , Suzan Verberne , Peter van der Putten

Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-grained grammatical intuition. This preregistered study…

计算与语言 · 计算机科学 2024-06-18 Zhuang Qiu , Xufeng Duan , Zhenguang G. Cai

The rapid advancements in large language models (LLMs) have significantly improved their ability to generate natural language, making texts generated by LLMs increasingly indistinguishable from human-written texts. While recent research has…

计算与语言 · 计算机科学 2025-10-01 Sergio E. Zanotto , Segun Aroyehun

Large language models (LLMs) are increasingly explored as substitutes for human participants in cognitive tasks, but their ability to simulate human behavioral variability remains unclear. This study examines whether LLMs can approximate…

计算与语言 · 计算机科学 2026-02-27 Mengyang Qiu , Zoe Brisebois , Siena Sun

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

We conduct a quantitative analysis contrasting human-written English news text with comparable large language model (LLM) output from six different LLMs that cover three different families and four sizes in total. Our analysis spans several…

计算与语言 · 计算机科学 2024-09-04 Alberto Muñoz-Ortiz , Carlos Gómez-Rodríguez , David Vilares

Generative AI models garnered a large amount of public attention and speculation with the release of OpenAIs chatbot, ChatGPT. At least two opinion camps exist: one excited about possibilities these models offer for fundamental changes to…

人工智能 · 计算机科学 2024-06-28 Ann Speed

The development and evaluation of Large Language Models (LLMs) has primarily focused on their task-solving capabilities, with recent models even surpassing human performance in some areas. However, this focus often neglects whether…

计算与语言 · 计算机科学 2025-07-29 Yanzhu Guo , Guokan Shang , Chloé Clavel

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing…

计算与语言 · 计算机科学 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan

Large language models (LLMs) have led to a surge in collaborative writing with model assistance. As different users incorporate suggestions from the same model, there is a risk of decreased diversity in the produced content, potentially…

计算与语言 · 计算机科学 2024-07-02 Vishakh Padmakumar , He He

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…

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Developing high-performing dialogue systems benefits from the automatic identification of undesirable behaviors in system responses. However, detecting such behaviors remains challenging, as it draws on a breadth of general knowledge and…

计算与语言 · 计算机科学 2023-09-14 Sarah E. Finch , Ellie S. Paek , Jinho D. Choi

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

Introduction: Large language models (LLMs) can process requests and generate texts, but their feasibility for assessing complex academic content needs further investigation. To explore LLM's potential in assisting scientific review, this…

计算与语言 · 计算机科学 2026-01-29 Yinuo Liu , Emre Sezgin , Eric A. Youngstrom

Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of the ChatGPT. Many believe that they have the potential…

软件工程 · 计算机科学 2024-02-22 Wei Wang , Huilong Ning , Gaowei Zhang , Libo Liu , Yi Wang

Random Number Generation Tasks (RNGTs) are used in psychology for examining how humans generate sequences devoid of predictable patterns. By adapting an existing human RNGT for an LLM-compatible environment, this preliminary study tests…

人工智能 · 计算机科学 2024-08-21 Rachel M. Harrison

To what extent can language alone give rise to complex concepts, or is embodied experience essential? Recent advancements in large language models (LLMs) offer fresh perspectives on this question. Although LLMs are trained on restricted…

计算与语言 · 计算机科学 2023-12-04 Qihui Xu , Yingying Peng , Samuel A. Nastase , Martin Chodorow , Minghua Wu , Ping Li

Large Language Models (LLMs) such as ChatGPT have shown remarkable abilities in producing human-like text. However, it is unclear how accurately these models internalize concepts that shape human thought and behavior. Here, we developed a…

机器学习 · 计算机科学 2025-07-01 Hiro Taiyo Hamada , Ippei Fujisawa , Genji Kawakita , Yuki Yamada

The release of ChatGPT in late 2022 caused a flurry of activity and concern in the academic and educational communities. Some see the tool's ability to generate human-like text that passes at least cursory inspections for factual accuracy…

计算机与社会 · 计算机科学 2025-04-18 Leo Leppänen , Lili Aunimo , Arto Hellas , Jukka K. Nurminen , Linda Mannila