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Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end,…

计算与语言 · 计算机科学 2025-02-11 Pranav Bhandari , Usman Naseem , Amitava Datta , Nicolas Fay , Mehwish Nasim

Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in social and cognitive domains. This study investigates whether LLMs exhibit personality-like…

计算与语言 · 计算机科学 2025-05-22 Wang Jiaqi , Wang bo , Guo fa , Cheng cheng , Yang li

The increasing capability of large language models (LLMs) to generate fluent long-form texts is presenting new challenges in distinguishing machine-generated outputs from human-written ones, which is crucial for ensuring authenticity and…

计算与语言 · 计算机科学 2024-10-08 Yufei Tian , Zeyu Pan , Nanyun Peng

The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise when students heavily rely on such tools in a manner that can…

计算与语言 · 计算机科学 2025-01-07 Ayat Najjar , Huthaifa I. Ashqar , Omar Darwish , Eman Hammad

In the era of rapid digital communication, vast amounts of textual data are generated daily, demanding efficient methods for latent content analysis to extract meaningful insights. Large Language Models (LLMs) offer potential for automating…

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

The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

计算与语言 · 计算机科学 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

Large Language Models (LLMs) are huge artificial neural networks which primarily serve to generate text, but also provide a very sophisticated probabilistic model of language use. Since generating a semantically consistent text requires a…

计算与语言 · 计算机科学 2024-04-09 Romuald A. Janik

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of…

计算与语言 · 计算机科学 2024-06-18 Filip Trhlik , Pontus Stenetorp

This study contributes to a growing line of research in comparing LLM-generated texts with human-authored text, in this case, English news text. We focus in particular on the evaluation of syntactic properties through formal grammar…

计算与语言 · 计算机科学 2026-05-08 Adrián Gude , Roi Santos-Ríos , Francis Bond , Dan Flickinger , Carlos Gómez-Rodríguez , Olga Zamaraeva

Humans constantly generate a diverse range of tasks guided by internal motivations. While generative agents powered by large language models (LLMs) aim to simulate this complex behavior, it remains uncertain whether they operate on similar…

人工智能 · 计算机科学 2026-01-29 Yi-Long Lu , Jiajun Song , Chunhui Zhang , Wei Wang

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

Story-writing is a fundamental aspect of human imagination, relying heavily on creativity to produce narratives that are novel, effective, and surprising. While large language models (LLMs) have demonstrated the ability to generate…

计算与语言 · 计算机科学 2025-05-13 Mete Ismayilzada , Claire Stevenson , Lonneke van der Plas

Significant progress has been made on text generation by pre-trained language models (PLMs), yet distinguishing between human and machine-generated text poses an escalating challenge. This paper offers an in-depth evaluation of three…

计算与语言 · 计算机科学 2024-05-16 Muhammad Farid Adilazuarda

Our work addresses the critical issue of distinguishing text generated by Large Language Models (LLMs) from human-produced text, a task essential for numerous applications. Despite ongoing debate about the feasibility of such…

计算与语言 · 计算机科学 2023-10-04 Souradip Chakraborty , Amrit Singh Bedi , Sicheng Zhu , Bang An , Dinesh Manocha , Furong Huang

Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, report generation, etc. However, unregulated malign application…

计算与语言 · 计算机科学 2023-09-15 Harika Abburi , Michael Suesserman , Nirmala Pudota , Balaji Veeramani , Edward Bowen , Sanmitra Bhattacharya

There have been many recent advances in the fields of generative Artificial Intelligence (AI) and Large Language Models (LLM), with the Generative Pre-trained Transformer (GPT) model being a leading "chatbot." LLM-based chatbots have become…

计算与语言 · 计算机科学 2024-08-12 Gauri Anil Godghase , Rishit Agrawal , Tanush Obili , Mark Stamp

Large Language Models (LLMs) have recently emerged, attracting considerable attention due to their ability to generate highly natural, human-like text. This study compares the latent community structures of LLM-generated text and…

计算与语言 · 计算机科学 2025-01-03 Mose Park , Yunjin Choi , Jong-June Jeon

This research explores the nuanced differences in texts produced by AI and those written by humans, aiming to elucidate how language is expressed differently by AI and humans. Through comprehensive statistical data analysis, the study…

数字图书馆 · 计算机科学 2024-08-05 Mayowa Akinwande , Oluwaseyi Adeliyi , Toyyibat Yussuph

Large Language Models (LLMs) are increasingly used in everyday life and research. One of the most common use cases is conversational interactions, enabled by the language generation capabilities of LLMs. Just as between two humans, a…

计算与语言 · 计算机科学 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee