中文
相关论文

相关论文: The design and implementation of Language Learning…

200 篇论文

Chat GPT belongs to the category of Generative Pre-trained Transformer (GPT) language models, which have received specialized training to produce text based on natural language inputs. Its purpose is to imitate human-like conversation and…

人机交互 · 计算机科学 2023-11-03 Wei Zhou

While generative AI (GenAI) voice chatbots offer scalable opportunities for second language (L2) oral practice, the interactional processes related to learners' gains remain underexplored. This study investigates dialogue act (DA) patterns…

计算与语言 · 计算机科学 2026-04-10 Liqun He , Shijun , Chen , Mutlu Cukurova , Manolis Mavrikis

We introduce a new approach to generative data-driven dialogue systems (e.g. chatbots) called TransferTransfo which is a combination of a Transfer learning based training scheme and a high-capacity Transformer model. Fine-tuning is…

计算与语言 · 计算机科学 2019-02-05 Thomas Wolf , Victor Sanh , Julien Chaumond , Clement Delangue

Student commitment towards a learning recommendation is not separable from their understanding of the reasons it was recommended to them; and their ability to modify it based on that understanding. Among explainability approaches, chatbots…

人工智能 · 计算机科学 2024-01-25 Hasan Abu-Rasheed , Mohamad Hussam Abdulsalam , Christian Weber , Madjid Fathi

This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series…

计算与语言 · 计算机科学 2023-04-20 Weixiang Zhao , Yanyan Zhao , Xin Lu , Shilong Wang , Yanpeng Tong , Bing Qin

This research explores the opportunities of Generative AI (GenAI) in the realm of higher education through the design and development of a multimodal chatbot for an undergraduate course. Leveraging the ChatGPT API for nuanced text-based…

人机交互 · 计算机科学 2025-09-25 Johnny Chan , Yuming Li

The study illustrates a first step towards an ongoing work aimed at developing a dataset of dialogues potentially useful for customer service conversation management between humans and AI chatbots. The approach exploits ChatGPT 3.5 to…

人机交互 · 计算机科学 2025-01-03 Alfredo Cuzzocrea , Giovanni Pilato , Pablo Garcia Bringas

Large language models have gained considerable interest for their impressive performance on various tasks. Among these models, ChatGPT developed by OpenAI has become extremely popular among early adopters who even regard it as a disruptive…

计算与语言 · 计算机科学 2023-04-10 Aman Rangapur , Haoran Wang

The article proposes a system for knowledge-based conversation designed for Social Robots and other conversational agents. The proposed system relies on an Ontology for the description of all concepts that may be relevant conversation…

机器人学 · 计算机科学 2022-08-23 Lucrezia Grassi , Carmine Tommaso Recchiuto , Antonio Sgorbissa

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to…

OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionized the approach in artificial intelligence to human-model interaction. Several publications on ChatGPT evaluation test its effectiveness on well-known…

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

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an English as a Foreign Language (EFL) context. Employing the Design and Development…

We present a chatbot implementing a novel dialogue management approach based on logical inference. Instead of framing conversation a sequence of response generation tasks, we model conversation as a collaborative inference process in which…

计算与语言 · 计算机科学 2021-11-02 Sarah E. Finch , James D. Finch , Daniil Huryn , William Hutsell , Xiaoyuan Huang , Han He , Jinho D. Choi

This paper reports on progress towards building an online language learning tool to provide learners with conversational experience by using dialog systems as conversation practice partners. Our system can adapt to users' language…

计算与语言 · 计算机科学 2022-08-02 Yu Li , Chun-Yen Chen , Dian Yu , Sam Davidson , Ryan Hou , Xun Yuan , Yinghua Tan , Derek Pham , Zhou Yu

Dialogue benchmarks are crucial in training and evaluating chatbots engaging in domain-specific conversations. Knowledge graphs (KGs) represent semantically rich and well-organized data spanning various domains, such as DBLP, DBpedia, and…

计算与语言 · 计算机科学 2025-01-20 Reham Omar , Omij Mangukiya , Essam Mansour

Neural Chat Translation (NCT) aims to translate conversational text between speakers of different languages. Despite the promising performance of sentence-level and context-aware neural machine translation models, there still remain…

计算与语言 · 计算机科学 2021-09-03 Yunlong Liang , Chulun Zhou , Fandong Meng , Jinan Xu , Yufeng Chen , Jinsong Su , Jie Zhou

This research presents a comprehensive methodology for utilizing an ontology-driven structured prompts system in interplay with ChatGPT, a widely used large language model (LLM). The study develops formal models, both information and…

人工智能 · 计算机科学 2023-07-12 Oleksandr Palagin , Vladislav Kaverinskiy , Anna Litvin , Kyrylo Malakhov

In this paper, we propose Tutoring bot, a generative chatbot trained on a large scale of tutor-student conversations for English-language learning. To mimic a human tutor's behavior in language education, the tutor bot leverages diverse…

人工智能 · 计算机科学 2023-02-27 Hyungjoo Chae , Minjin Kim , Chaehyeong Kim , Wonseok Jeong , Hyejoong Kim , Junmyung Lee , Jinyoung Yeo

Ontology-based approach to the Natural Language Understanding (NLU) processing allows to improve questions answering quality in dialogue systems. We describe our NLU engine architecture and evaluate its implementation. The engine transforms…

软件工程 · 计算机科学 2021-11-09 Sergey Gorshkov , Constantin Kondratiev , Roman Shebalov
‹ 上一页 1 2 3 10 下一页 ›