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A Large Language Model (LLM) is an artificial intelligence system that has been trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. GPT-3.5 is an example of an…

人工智能 · 计算机科学 2023-05-09 Gaurav Suri , Lily R. Slater , Ali Ziaee , Morgan Nguyen

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

Whether large language models (LLMs) process language similarly to humans has been the subject of much theoretical and practical debate. We examine this question through the lens of the production-interpretation distinction found in human…

计算与语言 · 计算机科学 2025-06-04 Suet-Ying Lam , Qingcheng Zeng , Jingyi Wu , Rob Voigt

Large language models (LLMs) have gained significant attention due to their ability to mimic human language. Identifying texts generated by LLMs is crucial for understanding their capabilities and mitigating potential consequences. This…

计算与语言 · 计算机科学 2024-07-19 Anjali Rawal , Hui Wang , Youjia Zheng , Yu-Hsuan Lin , Shanu Sushmita

This paper addresses the conceptual, methodological and technical challenges in studying large language models (LLMs) and the texts they produce from a quantitative linguistics perspective. It builds on a theoretical framework that…

计算与语言 · 计算机科学 2024-08-30 Jiří Milička

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

计算与语言 · 计算机科学 2025-07-09 Martin Schuele

The cognitive mechanism by which Large Language Models (LLMs) solve mathematical problems remains a widely debated and unresolved issue. Currently, there is little interpretable experimental evidence that connects LLMs' problem-solving with…

人工智能 · 计算机科学 2025-09-23 Wei Xie , Shuoyoucheng Ma , Zhenhua Wang , Enze Wang , Kai Chen , Xiaobing Sun , Baosheng Wang

Large Language Models (LLMs) have impressive capabilities, but are prone to outputting falsehoods. Recent work has developed techniques for inferring whether a LLM is telling the truth by training probes on the LLM's internal activations.…

人工智能 · 计算机科学 2024-08-20 Samuel Marks , Max Tegmark

Large Language Models (LLMs) are capable of generating text that is similar to or surpasses human quality. However, it is unclear whether LLMs tend to exhibit distinctive linguistic styles akin to how human authors do. Through a…

计算与语言 · 计算机科学 2025-09-03 Ariel Rosenfeld , Teddy Lazebnik

Large Language Models (LLMs),such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, some research has suggested that LLMs may even be able to simulate human…

人工智能 · 计算机科学 2025-08-14 Sarah Schröder , Thekla Morgenroth , Ulrike Kuhl , Valerie Vaquet , Benjamin Paaßen

Large Language Models (LLMs), such as Generative Pre-trained Transformers (GPTs) are revolutionizing the generation of human-like text, producing contextually relevant and syntactically correct content. Despite challenges like biases and…

计算与语言 · 计算机科学 2025-08-04 Alper Yaman , Jannik Schwab , Christof Nitsche , Abhirup Sinha , Marco Huber

As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts…

计算与语言 · 计算机科学 2023-12-06 Kanishk Gandhi , Jan-Philipp Fränken , Tobias Gerstenberg , Noah D. Goodman

Large Language Models (LLMs) possess an extraordinary capability to produce text that is not only coherent and contextually relevant but also strikingly similar to human writing. They adapt to various styles and genres, producing content…

计算与语言 · 计算机科学 2025-07-08 Chinnappa Guggilla , Budhaditya Roy , Trupti Ramdas Chavan , Abdul Rahman , Edward Bowen

Large language models (LLMs) are increasingly used in daily applications, from content generation to code writing, where each interaction treats the model as stateless, generating responses independently without memory. Yet human writing is…

计算与语言 · 计算机科学 2026-04-15 Zhanwei Cao , YeoJin Go , Yifan Hu , Shanu Sushmita

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

Research on emergent patterns in Large Language Models (LLMs) has gained significant traction in both psychology and artificial intelligence, motivating the need for a comprehensive review that offers a synthesis of this complex landscape.…

计算与语言 · 计算机科学 2024-12-23 Zhisheng Tang , Mayank Kejriwal

Large language models (LLMs) increasingly help people solve problems, from debugging code to repairing machinery. This process requires generating plausible hypotheses from partial descriptions, then updating them as more information…

机器学习 · 计算机科学 2026-05-08 Hua-Dong Xiong

Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly in the social sciences, where understanding human behavior is critical. Large Language Models (LLMs) have shown promise in replicating…

计算与语言 · 计算机科学 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

With the advancement of large language models (LLMs), the focus in Conversational AI has shifted from merely generating coherent and relevant responses to tackling more complex challenges, such as personalizing dialogue systems. In an…

计算与语言 · 计算机科学 2025-02-13 Maria Molchanova , Anna Mikhailova , Anna Korzanova , Lidiia Ostyakova , Alexandra Dolidze

Large language models (LLMs) are revolutionizing every aspect of society. They are increasingly used in problem-solving tasks to substitute human assessment and reasoning. LLMs are trained on what humans write and are thus exposed to human…

软件工程 · 计算机科学 2025-10-14 Fengfei Sun , Ningke Li , Kailong Wang , Lorenz Goette