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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…

Computation and Language · Computer Science 2023-07-07 Md Tahmid Rahman Laskar , M Saiful Bari , Mizanur Rahman , Md Amran Hossen Bhuiyan , Shafiq Joty , Jimmy Xiangji Huang

Chatbots have shown promise as tools to scale qualitative data collection. Recent advances in Large Language Models (LLMs) could accelerate this process by allowing researchers to easily deploy sophisticated interviewing chatbots. We test…

Human-Computer Interaction · Computer Science 2024-12-05 Alejandro Cuevas , Jennifer V. Scurrell , Eva M. Brown , Jason Entenmann , Madeleine I. G. Daepp

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academic writing through quantitative approaches, such as word…

Computation and Language · Computer Science 2025-05-20 Tong Bao , Yi Zhao , Jin Mao , Chengzhi Zhang

In this paper, we uncover a systematic bias in the evaluation paradigm of adopting large language models~(LLMs), e.g., GPT-4, as a referee to score and compare the quality of responses generated by candidate models. We find that the quality…

Computation and Language · Computer Science 2023-08-31 Peiyi Wang , Lei Li , Liang Chen , Zefan Cai , Dawei Zhu , Binghuai Lin , Yunbo Cao , Qi Liu , Tianyu Liu , Zhifang Sui

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

Computation and Language · Computer Science 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a…

Computation and Language · Computer Science 2023-08-29 Lixiang Yan , Lele Sha , Linxuan Zhao , Yuheng Li , Roberto Martinez-Maldonado , Guanliang Chen , Xinyu Li , Yueqiao Jin , Dragan Gašević

Systematic reviews are time-consuming endeavors. Historically speaking, knowledgeable humans have had to screen and extract data from studies before it can be analyzed. However, large language models (LLMs) hold promise to greatly…

Human-Computer Interaction · Computer Science 2025-01-22 Noah L. Schroeder , Chris Davis Jaldi , Shan Zhang

In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms. This study explores the efficacy of Large Language Models (LLMs) in…

Computation and Language · Computer Science 2024-05-07 Md Main Uddin Rony , Md Mahfuzul Haque , Mohammad Ali , Ahmed Shatil Alam , Naeemul Hassan

Large Language Models (LLMs) have showcased remarkable capabilities in various Natural Language Processing tasks. For automatic open-domain dialogue evaluation in particular, LLMs have been seamlessly integrated into evaluation frameworks,…

Computation and Language · Computer Science 2024-07-08 John Mendonça , Alon Lavie , Isabel Trancoso

Large language models (LLMs) are increasingly used in academic peer review, yet their reliability, alignment with human judgment, and robustness to adversarial attacks remain poorly understood. We present a systematic benchmark of…

Computation and Language · Computer Science 2026-05-26 Lingyao Li , Junjie Xiong , Changjia Zhu , Runlong Yu , Chen Chen , Junyu Wang , Renkai Ma , Zhicong Lu

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…

Computation and Language · Computer Science 2024-03-19 Zeyan Liu , Zijun Yao , Fengjun Li , Bo Luo

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,…

Computers and Society · Computer Science 2024-08-22 Yanxin Chen , Ling He

With the emergence of large language models (LLMs), investigating if they can surpass humans in areas such as emotion recognition and empathetic responding has become a focal point of research. This paper presents a comprehensive study…

Computation and Language · Computer Science 2024-06-10 Anuradha Welivita , Pearl Pu

The rapid advancement of Large Language Models (LLMs) in the realm of mathematical reasoning necessitates comprehensive evaluations to gauge progress and inspire future directions. Existing assessments predominantly focus on problem-solving…

Computation and Language · Computer Science 2024-06-05 Xiaoyuan Li , Wenjie Wang , Moxin Li , Junrong Guo , Yang Zhang , Fuli Feng

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs…

Computation and Language · Computer Science 2023-10-10 Thilo Hagendorff , Sarah Fabi , Michal Kosinski

Universal healthcare access is critically needed, especially in resource-limited settings. Large Language Models (LLMs) offer promise for democratizing healthcare with advanced diagnostics, but their reliability requires thorough…

Computation and Language · Computer Science 2025-03-17 Krishna Subedi

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

Machine Learning · Computer Science 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

In an era dominated by Large Language Models (LLMs), understanding their capabilities and limitations, especially in high-stakes fields like law, is crucial. While LLMs such as Meta's LLaMA, OpenAI's ChatGPT, Google's Gemini, DeepSeek, and…

Computation and Language · Computer Science 2025-09-29 Antreas Ioannou , Andreas Shiamishis , Nora Hollenstein , Nezihe Merve Gürel

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

We study the ability of large language models (LLMs) to generate comprehensive and accurate book summaries solely from their internal knowledge, without recourse to the original text. Employing a diverse set of books and multiple LLM…

Computation and Language · Computer Science 2025-03-28 Javier Coronado-Blázquez