1 citations · 1 across the 8 of their papers we have counts for
8 papers
From Detection to Characterization: A Large-Scale Study of Ragebait on Japanese X
Zhiyang Qi, Kazuhiro Ito, Jinghui Chen +5
Ragebait refers to online content intentionally designed to provoke anger or outrage and thereby increase attention and engagement. However, reliable large-scale detection and syst…
Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Dataset
Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba
To address the critical scarcity of high-quality, publicly available counseling dialogue datasets, we created Multilingual KokoroChat by translating KokoroChat, a large-scale manua…
Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information
Yoshiki Tanaka, Takumasa Kaneko, Hiroki Onozeki +6
The Werewolf Game is a communication game where players' reasoning and discussion skills are essential. In this study, we present a Werewolf AI agent developed for the AIWolfDial 2…
EmoStage: A Framework for Accurate Empathetic Response Generation via Perspective-Taking and Phase Recognition
Zhiyang Qi, Keiko Takamizo, Mariko Ukiyo +1
The rising demand for mental health care has fueled interest in AI-driven counseling systems. While large language models (LLMs) offer significant potential, current approaches fac…
KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors
Zhiyang Qi, Takumasa Kaneko, Keiko Takamizo +2
Generating psychological counseling responses with language models relies heavily on high-quality datasets. Crowdsourced data collection methods require strict worker training, and…
Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategies
Zhiyang Qi, Michimasa Inaba
Recent advancements in natural language processing, particularly with large language models (LLMs) like GPT-4, have significantly enhanced dialogue systems, enabling them to genera…
Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-Resource User Groups
Zhiyang Qi, Michimasa Inaba
This study addresses the interaction challenges encountered by spoken dialogue systems (SDSs) when engaging with users who exhibit distinct conversational behaviors, particularly m…
Enhancing Consistency in Multimodal Dialogue System Using LLM with Dialogue Scenario
Hiroki Onozeki, Zhiyang Qi, Kazuma Akiyama +3
This paper describes our dialogue system submitted to Dialogue Robot Competition 2023. The system's task is to help a user at a travel agency decide on a plan for visiting two sigh…