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20242026
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cs.CL2026

I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System

Zi Haur Pang, Yahui Fu, Koji Inoue +1

Emotional validation - explicitly acknowledging that a user's feelings make sense - has proven therapeutic value but has received little computational attention. Emotional validati…

cs.CL2025

Multilingual and Continuous Backchannel Prediction: A Cross-lingual Study

Koji Inoue, Mikey Elmers, Yahui Fu +5

We present a multilingual, continuous backchannel prediction model for Japanese, English, and Chinese, and use it to investigate cross-linguistic timing behavior. The model is Tran…

cs.CL2025

Minority-Aware Satisfaction Estimation in Dialogue Systems via Preference-Adaptive Reinforcement Learning

Yahui Fu, Zi Haur Pang, Tatsuya Kawahara

User satisfaction in dialogue systems is inherently subjective. When the same response strategy is applied across users, minority users may assign different satisfaction ratings th…

cs.CL2025

Prompt-Guided Turn-Taking Prediction

Koji Inoue, Mikey Elmers, Yahui Fu +4

Turn-taking prediction models are essential components in spoken dialogue systems and conversational robots. Recent approaches leverage transformer-based architectures to predict s…

cs.CL2024

Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference

Zi Haur Pang, Yahui Fu, Divesh Lala +3

This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conv…

cs.CL2024

StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement

Yahui Fu, Chenhui Chu, Tatsuya Kawahara

Recent approaches for empathetic response generation mainly focus on emotional resonance and user understanding, without considering the system's personality. Consistent personalit…