Akifumi Yoshimoto — accepted AI-conference papers

2025

Proactive User Information Acquisition via Chats on User-Favored Topics

Shiki Sato, Jun Baba, Asahi Hentona, Shinji Iwata, Akifumi Yoshimoto, Koichiro Yoshino

EMNLP 2025

Chat-oriented dialogue systems that deliver tangible benefits, such as sharing news or frailty prevention for seniors, require proactive acquisition of specific user information via chats on user-favored topics. This study proposes the Proactive Information Acquisition (PIA) task to support the deve

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2024

Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness

Xincan Feng, Akifumi Yoshimoto

COLING 2024main

Recent advancements in Natural Language Processing (NLP) have seen Large-scale Language Models (LLMs) excel at producing high-quality text for various purposes. Notably, in Text-To-Speech (TTS) systems, the integration of BERT for semantic token generation has underscored the importance of semantic…

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