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ChatGPT is one of the most popular language models which achieve amazing performance on various natural language tasks. Consequently, there is also an urgent need to detect the texts generated ChatGPT from human written. One of the…

Computation and Language · Computer Science 2023-10-04 Han Xu , Jie Ren , Pengfei He , Shenglai Zeng , Yingqian Cui , Amy Liu , Hui Liu , Jiliang Tang

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

After the launch of ChatGPT v.4 there has been a global vivid discussion on the ability of this artificial intelligence powered platform and some other similar ones for the automatic production of all kinds of texts, including scientific…

Computation and Language · Computer Science 2024-04-16 Javier J. Sanchez-Medina

GenAI systems such as ChatGPT are increasingly discussed in programming education, but the ways in which the research literature conceptualizes and frames their role remain unclear. This chapter applies text mining to publications indexed…

Large language models (LLMs) like ChatGPT are increasingly used in academic writing, yet issues such as incorrect or fabricated references raise ethical concerns. Moreover, current content quality evaluations often rely on subjective human…

Computation and Language · Computer Science 2025-09-15 Jing Ren , Weiqi Wang

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand…

Information Retrieval · Computer Science 2023-06-21 Xinyi Li , Yongfeng Zhang , Edward C. Malthouse

Grading exams is an important, labor-intensive, subjective, repetitive, and frequently challenging task. The feasibility of autograding textual responses has greatly increased thanks to the availability of large language models (LLMs) such…

Computation and Language · Computer Science 2024-07-09 Johannes Schneider , Bernd Schenk , Christina Niklaus

This paper focuses on the development of an advanced intelligent article scoring system that not only assesses the overall quality of written work but also offers detailed feature-based scoring tailored to various article genres. By…

Computation and Language · Computer Science 2024-10-21 Chihang Wang , Yuxin Dong , Zhenhong Zhang , Ruotong Wang , Shuo Wang , Jiajing Chen

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

Computation and Language · Computer Science 2023-06-06 Niful Islam , Debopom Sutradhar , Humaira Noor , Jarin Tasnim Raya , Monowara Tabassum Maisha , Dewan Md Farid

ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions. In this report, we aim to evaluate ChatGPT…

Computation and Language · Computer Science 2023-03-27 Haoran Wu , Wenxuan Wang , Yuxuan Wan , Wenxiang Jiao , Michael Lyu

This study explores the integration of a representative large language model, ChatGPT, into lending decision-making with a focus on credit default prediction. Specifically, we use ChatGPT to analyse and interpret loan assessments written by…

Risk Management · Quantitative Finance 2025-03-25 Zongxiao Wu , Yizhe Dong , Yaoyiran Li , Baofeng Shi

The ingrained principles of fairness in a dialogue system's decision-making process and generated responses are crucial for user engagement, satisfaction, and task achievement. Absence of equitable and inclusive principles can hinder the…

Computation and Language · Computer Science 2023-07-11 Anthony Sicilia , Malihe Alikhani

The importance of recommender systems on the web has grown, especially in the movie industry, with a vast selection of options to watch. To assist users in traversing available items and finding relevant results, recommender systems analyze…

Information Retrieval · Computer Science 2025-07-30 Ali Fallahi , Azam Bastanfard , Amineh Amini , Hadi Saboohi

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

This study aimed to determine if ChatGPT's large language models could match the scoring accuracy of human and machine scores from the ASAP competition. The investigation focused on various prediction models, including linear regression,…

Computation and Language · Computer Science 2024-08-20 Mark D. Shermis

Peer prediction mechanisms motivate high-quality feedback with provable guarantees. However, current methods only apply to rather simple reports, like multiple-choice or scalar numbers. We aim to broaden these techniques to the larger…

Computation and Language · Computer Science 2024-09-04 Yuxuan Lu , Shengwei Xu , Yichi Zhang , Yuqing Kong , Grant Schoenebeck

In many settings, an effective way of evaluating objects of interest is to collect evaluations from dispersed individuals and to aggregate these evaluations together. Some examples are categorizing online content and evaluating student…

Computer Science and Game Theory · Computer Science 2016-06-23 Alice Gao , James R. Wright , Kevin Leyton-Brown

This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot). The history and principles behind ChatGPT and similar models are…

Computation and Language · Computer Science 2023-04-03 Brady Lund , Ting Wang , Nishith Reddy Mannuru , Bing Nie , Somipam Shimray , Ziang Wang

Evaluation of language model outputs on structured writing tasks is typically conducted with a number of desirable criteria presented to human evaluators or large language models (LLMs). For instance, on a prompt like "Help me draft an…

Computation and Language · Computer Science 2025-08-19 Manya Wadhwa , Zayne Sprague , Chaitanya Malaviya , Philippe Laban , Junyi Jessy Li , Greg Durrett

Existing text scoring methods require a large corpus, struggle with short texts, or require hand-labeled data. We develop a text scoring framework that leverages generative large language models (LLMs) to (1) set texts against the backdrop…

Computation and Language · Computer Science 2025-06-05 Patrick Y. Wu , Jonathan Nagler , Joshua A. Tucker , Solomon Messing