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Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

Software Engineering · Computer Science 2025-04-03 Nam Huynh , Beiyu Lin

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin

Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities of LLMs on business process modeling using a framework for…

Databases · Computer Science 2024-12-03 Humam Kourani , Alessandro Berti , Daniel Schuster , Wil M. P. van der Aalst

Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine learning conferences, we examined and compared the words used…

Computation and Language · Computer Science 2024-10-23 Mingmeng Geng , Caixi Chen , Yanru Wu , Dongping Chen , Yao Wan , Pan Zhou

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

Computation and Language · Computer Science 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

Large Language Models (LLMs), like ChatGPT, are fundamentally tools trained on vast data, reflecting diverse societal impressions. This paper aims to investigate LLMs' self-perceived bias concerning indigeneity when simulating scenarios of…

Artificial Intelligence · Computer Science 2023-10-16 Cecilia Delgado Solorzano , Carlos Toxtli Hernandez

Large language models have not only captivated the public imagination but have also sparked a profound rethinking of how we learn. In the third year following the breakthrough launch of ChatGPT, everyday informal learning has been…

Human-Computer Interaction · Computer Science 2025-06-16 Nađa Terzimehić , Babette Bühler , Enkelejda Kasneci

As the use of Large Language Models (LLMs) by students, lecturers and researchers becomes more prevalent, universities - like other organizations - are pressed to develop coherent AI strategies. LLMs as-a-Service (LLMaaS) offer accessible…

Computers and Society · Computer Science 2025-05-16 Leon Hannig , Annika Bush , Meltem Aksoy , Steffen Becker , Greta Ontrup

This study addresses the challenges of tracking and analyzing students' learning trajectories, particularly the issue of inadequate knowledge coverage in course assessments. Traditional assessment tools often fail to fully cover course…

Computers and Society · Computer Science 2025-04-17 Yu-Hxiang Chen , Ju-Shen Huang , Jia-Yu Hung , Chia-Kai Chang

This paper explores the frontiers of large language models (LLMs) in psychology applications. Psychology has undergone several theoretical changes, and the current use of Artificial Intelligence (AI) and Machine Learning, particularly LLMs,…

Machine Learning · Computer Science 2025-07-15 Luoma Ke , Song Tong , Peng Cheng , Kaiping Peng

Large language models (LLMs) show early signs of artificial general intelligence but struggle with hallucinations. One promising solution to mitigate these hallucinations is to store external knowledge as embeddings, aiding LLMs in…

Computation and Language · Computer Science 2024-04-26 Zhihao Zhu , Ninglu Shao , Defu Lian , Chenwang Wu , Zheng Liu , Yi Yang , Enhong Chen

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in the realm of education. This survey paper summarizes the various technologies of LLMs in educational settings from multifaceted perspectives,…

Computation and Language · Computer Science 2024-04-03 Shen Wang , Tianlong Xu , Hang Li , Chaoli Zhang , Joleen Liang , Jiliang Tang , Philip S. Yu , Qingsong Wen

Student modeling is central to many educational technologies as it enables predicting future learning outcomes and designing targeted instructional strategies. However, open-ended learning domains pose challenges for accurately modeling…

Computation and Language · Computer Science 2024-05-07 Manh Hung Nguyen , Sebastian Tschiatschek , Adish Singla

Motivation is a central driver of human behavior, shaping decisions, goals, and task performance. As large language models (LLMs) become increasingly aligned with human preferences, we ask whether they exhibit something akin to motivation.…

Computation and Language · Computer Science 2026-03-17 Omer Nahum , Asael Sklar , Ariel Goldstein , Roi Reichart

This paper was a Workshop Paper. See the full paper which will be presented at CHI 2026: arXiv:2501.10551; As large language models (LLMs) become more powerful and ubiquitous, systems like ChatGPT are increasingly used by students to help…

Human-Computer Interaction · Computer Science 2026-02-13 Andrew Jelson , Sang Won Lee

Tool learning methods have enhanced the ability of large language models (LLMs) to interact with real-world applications. Many existing works fine-tune LLMs or design prompts to enable LLMs to select appropriate tools and correctly invoke…

Computation and Language · Computer Science 2024-07-04 Chengrui Huang , Zhengliang Shi , Yuntao Wen , Xiuying Chen , Peng Han , Shen Gao , Shuo Shang

Large Language Models (LLMs), trained on extensive web-scale corpora, have demonstrated remarkable abilities across diverse tasks, especially as they are scaled up. Nevertheless, even state-of-the-art models struggle in certain cases,…

Computation and Language · Computer Science 2025-01-16 Irina Bigoulaeva , Harish Tayyar Madabushi , Iryna Gurevych

Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a framework for Adaptive Learning Systems that leverages…

Computers and Society · Computer Science 2025-07-28 Yongjie Li , Ruilin Nong , Jianan Liu , Lucas Evans

Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: the potential of LLM-based tools to assist in the daily work of…

Software Engineering · Computer Science 2024-04-24 Mohamed Nejjar , Luca Zacharias , Fabian Stiehle , Ingo Weber

This paper presents a comprehensive investigation into the capability of Large Language Models (LLMs) to successfully complete a semester-long undergraduate control systems course. Through evaluation of 115 course deliverables, we assess…

Computers and Society · Computer Science 2025-05-19 Gokul Puthumanaillam , Timothy Bretl , Melkior Ornik