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相关论文: Conversational Ontology Alignment with ChatGPT

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Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation by comprehending context and generating…

计算与语言 · 计算机科学 2023-04-05 Ali Borji

Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. Traditional diagnostic methods not only require intensive human effort…

计算与语言 · 计算机科学 2024-12-02 Chuanbo Hu , Wenqi Li , Mindi Ruan , Xiangxu Yu , Shalaka Deshpande , Lynn K. Paul , Shuo Wang , Xin Li

AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process…

计算与语言 · 计算机科学 2024-01-19 Nataliia Klievtsova , Janik-Vasily Benzin , Timotheus Kampik , Juergen Mangler , Stefanie Rinderle-Ma

A concise overview is provided of selected theoretical models of communication competence in the fields of linguistics, interpersonal communication, second language use, and human-robot interaction. The following practical research…

人机交互 · 计算机科学 2025-11-06 Goran Bubas

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning…

计算与语言 · 计算机科学 2024-01-17 Hailin Chen , Fangkai Jiao , Xingxuan Li , Chengwei Qin , Mathieu Ravaut , Ruochen Zhao , Caiming Xiong , Shafiq Joty

Recent studies have demonstrated promising potential of ChatGPT for various text annotation and classification tasks. However, ChatGPT is non-deterministic which means that, as with human coders, identical input can lead to different…

计算与语言 · 计算机科学 2023-04-24 Michael V. Reiss

The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and generation. Thus, in…

计算与语言 · 计算机科学 2023-04-24 Yuan Gao , Ruili Wang , Feng Hou

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

计算与语言 · 计算机科学 2026-02-12 Liz Li , Wei Zhu

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

人工智能 · 计算机科学 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie

Large language models, such as the well-known ChatGPT, have brought about an unexpected revolution in the field of artificial intelligence. On the one hand, they have numerous practical applications and enormous potential still to be…

计算与语言 · 计算机科学 2025-02-26 Carlos Gómez-Rodríguez

Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of the detection of such hateful speech has been a challenging problem. In this work, we examine whether ChatGPT can be used…

计算与语言 · 计算机科学 2023-03-17 Fan Huang , Haewoon Kwak , Jisun An

Open intent detection, a crucial aspect of natural language understanding, involves the identification of previously unseen intents in user-generated text. Despite the progress made in this field, challenges persist in handling new…

计算与语言 · 计算机科学 2023-08-28 Yihao Fang , Xianzhi Li , Stephen W. Thomas , Xiaodan Zhu

The performance of text summarization has been greatly boosted by pre-trained language models. A main concern of existing methods is that most generated summaries are not factually inconsistent with their source documents. To alleviate the…

计算与语言 · 计算机科学 2023-04-14 Zheheng Luo , Qianqian Xie , Sophia Ananiadou

Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various domains, including passing exams and creative writing.…

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural…

人工智能 · 计算机科学 2025-02-07 Jianlong Zhou , Heimo Müller , Andreas Holzinger , Fang Chen

This study explores the problem solving capabilities of ChatGPT and its prospective applications in standardized test preparation, focusing on the GRE quantitative exam. Prior research has shown great potential for the utilization of…

计算机与社会 · 计算机科学 2023-09-27 Umer Farooq , Saira Anwar

While previous studies have demonstrated that Large Language Models (LLMs) can predict peer review outcomes to some extent, this paper builds on that by introducing two new contexts and employing a more robust method - averaging multiple…

数字图书馆 · 计算机科学 2024-11-18 Mike Thelwall , Abdullah Yaghi

The article aims to analyze the performance of ChatGPT, a large language model developed by OpenAI, in the context of cardiology and vascular pathologies. The study evaluated the accuracy of ChatGPT in answering challenging multiple-choice…

计算与语言 · 计算机科学 2026-03-09 Walid Hariri

The emergence of an AI-powered chatbot that can generate human-like sentences and write coherent essays has caught the world's attention. This paper discusses the historical overview of chatbots and the technology behind Chat Generative…

计算与语言 · 计算机科学 2023-08-11 Sakib Shahriar , Kadhim Hayawi

Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in accessing and leveraging long-term memory, leading…

人工智能 · 计算机科学 2024-07-16 Zhongsheng Wang , Jiamou Liu , Qiming Bao , Hongfei Rong , Jingfeng Zhang