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At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts. Our system…

计算与语言 · 计算机科学 2023-12-22 Ryu Hirai , Shinya Iizuka , Haruhisa Iseno , Ao Guo , Jingjing Jiang , Atsumoto Ohashi , Ryuichiro Higashinaka

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

计算机与社会 · 计算机科学 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

Recommendation dialogue systems aim to build social bonds with users and provide high-quality recommendations. This paper pushes forward towards a promising paradigm called target-driven recommendation dialogue systems, which is highly…

计算与语言 · 计算机科学 2022-08-09 Jian Wang , Dongding Lin , Wenjie Li

To improve the interactive capabilities of a dialogue system, e.g., to adapt to different customers, the Dialogue Robot Competition (DRC2022) was held. As one of the teams, we built a dialogue system with a pipeline structure containing…

计算与语言 · 计算机科学 2022-10-19 Ryu Hirai , Atsumoto Ohashi , Ao Guo , Hideki Shiroma , Xulin Zhou , Yukihiko Tone , Shinya Iizuka , Ryuichiro Higashinaka

The rapid development of the Internet has profoundly changed human life. Humans are increasingly expressing themselves and interacting with others on social media platforms. However, although artificial intelligence technology has been…

计算与语言 · 计算机科学 2024-07-11 Haochen Xue , Chong Zhang , Chengzhi Liu , Fangyu Wu , Xiaobo Jin

This paper describes the dialog robot system designed by Team Irisapu for the preliminary round of the Dialogue Robot Competition 2023 (DRC2023). In order to generate dialogue responses flexibly while adhering to predetermined scenarios, we…

机器人学 · 计算机科学 2023-12-22 Reon Ohashi , Shinjitsu Agatsuma , Kazuya Tsubokura , Yurie Iribe

Since its launch, ChatGPT has achieved remarkable success as a versatile conversational AI platform, drawing millions of users worldwide and garnering widespread recognition across academic, industrial, and general communities. This paper…

人机交互 · 计算机科学 2023-12-19 Yuyang Deng , Ni Zhao , Xin Huang

Prompting is central to interaction with AI systems, yet many users struggle to explore alternative directions, articulate creative intent, or understand how variations in prompts shape model outputs. We introduce prompt recommender systems…

人机交互 · 计算机科学 2026-01-23 Jason Kim , Maria Teleki , James Caverlee

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 systems without consistent responses are not fascinating. In this study, we build a dialogue system that can respond based on a given character setting (persona) to bring consistency. Considering the trend of the rapidly increasing…

计算与语言 · 计算机科学 2022-06-14 Tomohito Kasahara , Daisuke Kawahara , Nguyen Tung , Shengzhe Li , Kenta Shinzato , Toshinori Sato

The emergence of pretrained large language models has led to the deployment of a range of social chatbots for chitchat. Although these chatbots demonstrate language ability and fluency, they are not guaranteed to be engaging and can…

Conversational recommender systems (CRS) enable users to articulate their preferences and provide feedback through natural language. With the advent of large language models (LLMs), the potential to enhance user engagement with CRS and…

人机交互 · 计算机科学 2024-05-24 Yizhe Zhang , Yucheng Jin , Li Chen , Ting Yang

Campus climate surveys play a pivotal role in capturing how students, faculty, and staff experience university life, yet traditional methods frequently suffer from low participation and minimal follow-up. We present TigerGPT, a new AI…

人机交互 · 计算机科学 2025-04-22 Jinwen Tang , Songxi Chen , Yi Shang

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

Recommendation algorithms have been pivotal in handling the overwhelming volume of online content. However, these algorithms seldom consider direct user input, resulting in superficial interaction between them. Efforts have been made to…

信息检索 · 计算机科学 2024-01-09 Kyle Dylan Spurlock , Cagla Acun , Esin Saka , Olfa Nasraoui

Knowledge-aided dialogue response generation aims at augmenting chatbots with relevant external knowledge in the hope of generating more informative responses. The majority of previous work assumes that the relevant knowledge is given as…

计算与语言 · 计算机科学 2023-02-21 Ante Wang , Linfeng Song , Qi Liu , Haitao Mi , Longyue Wang , Zhaopeng Tu , Jinsong Su , Dong Yu

With a major focus on its history, difficulties, and promise, this research paper provides a thorough analysis of the chatbot technology environment as it exists today. It provides a very flexible chatbot system that makes use of…

人工智能 · 计算机科学 2023-10-16 Shivom Aggarwal , Shourya Mehra , Pritha Mitra

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

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

Automatic evaluation is beneficial for open-domain dialog system development. However, standard word-overlap metrics (BLEU, ROUGE) do not correlate well with human judgements of open-domain dialog systems. In this work we propose to use the…

计算与语言 · 计算机科学 2022-02-18 Sarik Ghazarian , Behnam Hedayatnia , Alexandros Papangelis , Yang Liu , Dilek Hakkani-Tur