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相关论文: Conversational Ontology Alignment with ChatGPT

200 篇论文

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…

计算与语言 · 计算机科学 2023-04-03 Brady Lund , Ting Wang , Nishith Reddy Mannuru , Bing Nie , Somipam Shimray , Ziang Wang

The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently. However, the combined application of Large Language Models with semantic…

计算与语言 · 计算机科学 2023-05-09 Milena Trajanoska , Riste Stojanov , Dimitar Trajanov

Large pre-trained language models have exhibited unprecedented capabilities in producing high-quality text via prompting techniques. This fact introduces new possibilities for data collection and annotation, particularly in situations where…

计算与语言 · 计算机科学 2023-05-25 Tiziano Labruna , Sofia Brenna , Andrea Zaninello , Bernardo Magnini

This paper proposes a pipeline for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available dataset. We carry out an extensive technical evaluation of ChatGPT using Big-Vul covering five different common software…

软件工程 · 计算机科学 2024-04-08 Xin Yin

Large language models have demonstrated exceptional capabilities in tasks involving natural language generation, reasoning, and comprehension. This study aims to construct prompts and comments grounded in the diverse scoring criteria…

计算与语言 · 计算机科学 2024-01-09 Wei Xia , Shaoguang Mao , Chanjing Zheng

Debate is the process of exchanging viewpoints or convincing others on a particular issue. Recent research has provided empirical evidence that the persuasiveness of an argument is determined not only by language usage but also by…

计算与语言 · 计算机科学 2024-10-08 Chunkit Chan , Cheng Jiayang , Xin Liu , Yauwai Yim , Yuxin Jiang , Zheye Deng , Haoran Li , Yangqiu Song , Ginny Y. Wong , Simon See

The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately. In this paper, we focus on assessing the overall ability of ChatGPT using 7…

计算与语言 · 计算机科学 2023-04-25 Bo Li , Gexiang Fang , Yang Yang , Quansen Wang , Wei Ye , Wen Zhao , Shikun Zhang

This study explores ChatGPT's capabilities, stability, and risks in simulating psychological counseling sessions in a school counseling context. Using scripted role-plays between a human counselor and an AI client, we examine how a large…

人机交互 · 计算机科学 2025-12-08 Yang Ni , Yanzhuo Cao

Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challenges in providing reliable and accurate answers to user…

计算与语言 · 计算机科学 2023-12-05 Shen Zheng , Jie Huang , Kevin Chen-Chuan Chang

This paper proposes using ChatGPT, an innovative technology with various applications, as an assistant for psychotherapy. ChatGPT can serve as a patient information collector, a companion for patients in between therapy sessions, and an…

人机交互 · 计算机科学 2023-04-21 Mahshid Eshghie , Mojtaba Eshghie

This study evaluates the effectiveness of ChatGPT, an advanced AI model for natural language processing, in identifying targeting and inappropriate language in online comments. With the increasing challenge of moderating vast volumes of…

计算与语言 · 计算机科学 2025-05-29 Barbarestani Baran , Maks Isa , Vossen Piek

Conversational search requires accurate interpretation of user intent from complex multi-turn contexts. This paper presents ChatRetriever, which inherits the strong generalization capability of large language models to robustly represent…

信息检索 · 计算机科学 2024-04-23 Kelong Mao , Chenlong Deng , Haonan Chen , Fengran Mo , Zheng Liu , Tetsuya Sakai , Zhicheng Dou

This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equivalence mappings across ontologies. To test the zero-shot…

人工智能 · 计算机科学 2023-09-15 Yuan He , Jiaoyan Chen , Hang Dong , Ian Horrocks

This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in annotating MT outputs based on an error typology. In contrast to previous work focusing mainly on general language, we explore ChatGPT's…

计算与语言 · 计算机科学 2025-04-22 Joachim Minder , Guillaume Wisniewski , Natalie Kübler

This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the prompts advised by ChatGPT to trigger its translation ability…

计算与语言 · 计算机科学 2023-11-03 Wenxiang Jiao , Wenxuan Wang , Jen-tse Huang , Xing Wang , Shuming Shi , Zhaopeng Tu

ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios.…

计算机与社会 · 计算机科学 2023-08-01 Yong Zheng

Transportation equity is an interdisciplinary agenda that requires both transportation and social inputs. Traditionally, transportation equity information are sources from public libraries, conferences, televisions, social media, among…

信息检索 · 计算机科学 2023-03-21 Boniphace Kutela , Shoujia Li , Subasish Das , Jinli Liu

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…

计算与语言 · 计算机科学 2024-03-19 Zeyan Liu , Zijun Yao , Fengjun Li , Bo Luo

This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. We present three different approaches to predicting turn-level qualities of chatbot responses based on large language models (LLMs). We…

计算与语言 · 计算机科学 2023-08-15 Ondřej Plátek , Vojtěch Hudeček , Patricia Schmidtová , Mateusz Lango , Ondřej Dušek

Language models (LMs) have achieved notable success in numerous NLP tasks, employing both fine-tuning and in-context learning (ICL) methods. While language models demonstrate exceptional performance, they face robustness challenges due to…

计算与语言 · 计算机科学 2024-06-18 Yuhang Zhou , Paiheng Xu , Xiaoyu Liu , Bang An , Wei Ai , Furong Huang