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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

Large language models (LLMs) such as ChatGPT have demonstrated superior performance on a variety of natural language processing (NLP) tasks including sentiment analysis, mathematical reasoning and summarization. Furthermore, since these…

计算与语言 · 计算机科学 2023-10-18 Shiyuan Huang , Siddarth Mamidanna , Shreedhar Jangam , Yilun Zhou , Leilani H. Gilpin

Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and…

计算与语言 · 计算机科学 2024-06-06 Heinrich Peters , Sandra Matz

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

The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) into people's everyday lives. This study examines the ability…

计算与语言 · 计算机科学 2025-10-28 Sandeep Kumar , Tirthankar Ghosal , Vinayak Goyal , Asif Ekbal

This study investigates the application effectiveness of the Large Language Model (LLMs) ChatGLM in the automated generation of high school information technology exam questions. Through meticulously designed prompt engineering strategies,…

计算机与社会 · 计算机科学 2024-08-22 Yanxin Chen , Ling He

As Large Language Models (LLMs) continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This leads to the rising necessity for comprehensive studies to fully…

人工智能 · 计算机科学 2025-01-07 Bojana Bodroza , Bojana M. Dinic , Ljubisa Bojic

As Large Language Models (LLMs) grow increasingly adept at managing complex tasks, the evaluation set must keep pace with these advancements to ensure it remains sufficiently discriminative. Item Discrimination (ID) theory, which is widely…

计算与语言 · 计算机科学 2024-10-08 Fan Lin , Shuyi Xie , Yong Dai , Wenlin Yao , Tianjiao Lang , Zishan Xu , Zhichao Hu , Xiao Xiao , Yuhong Liu , Yu Zhang

Large Language Models (LLMs) such as OpenAI's GPT-4 and Meta's LLaMA offer a promising approach for scalable personality assessment from open-ended language. However, inferring personality traits remains challenging, and earlier work often…

计算与语言 · 计算机科学 2025-07-22 Jianfeng Zhu , Ruoming Jin , Karin G. Coifman

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

This study validates Large Language Models (LLMs) as a dynamic alternative to questionnaire-based personality assessment. Using a within-subjects experiment (N=33), we compared Big Five personality scores derived from guided LLM…

计算与语言 · 计算机科学 2026-02-19 Andrius Matšenas , Anet Lello , Tõnis Lees , Hans Peep , Kim Lilii Tamm

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly powerconversational agents used by the general…

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

Automated short answer grading (ASAG) with large language models (LLMs) is commonly evaluated with aggregate metrics such as macro-F1 and Cohen's kappa. However, these metrics provide limited insight into how grading performance varies…

计算与语言 · 计算机科学 2026-05-14 Longwei Cong , Sonja Hahn , Sebastian Gombert , Leon Camus , Hendrik Drachsler , Ulf Kroehne

Recent research has focused on examining Large Language Models' (LLMs) characteristics from a psychological standpoint, acknowledging the necessity of understanding their behavioral characteristics. The administration of personality tests…

计算与语言 · 计算机科学 2024-10-07 Jen-tse Huang , Wenxiang Jiao , Man Ho Lam , Eric John Li , Wenxuan Wang , Michael R. Lyu

Using Large Language Models (LLMs) for relevance assessments offers promising opportunities to improve Information Retrieval (IR), Natural Language Processing (NLP), and related fields. Indeed, LLMs hold the promise of allowing IR…

With large language models (LLMs) like GPT-4 appearing to behave increasingly human-like in text-based interactions, it has become popular to attempt to evaluate personality traits of LLMs using questionnaires originally developed for…

计算与语言 · 计算机科学 2024-06-06 Tom Sühr , Florian E. Dorner , Samira Samadi , Augustin Kelava

Artificial Intelligence (AI) and large language models (LLMs) are increasingly used in social and psychological research. Among potential applications, LLMs can be used to generate, customise, or adapt measurement instruments. This study…

人机交互 · 计算机科学 2026-02-16 Mario Angelelli , Morena Oliva , Serena Arima , Enrico Ciavolino

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated…

计算与语言 · 计算机科学 2024-10-15 Subhankar Maity , Aniket Deroy

Safe deployment of large language models (LLMs) may benefit from a reliable method for assessing their generated content to determine when to abstain or to selectively generate. While likelihood-based metrics such as perplexity are widely…

计算与语言 · 计算机科学 2023-12-18 Jie Ren , Yao Zhao , Tu Vu , Peter J. Liu , Balaji Lakshminarayanan