Author

Pei-Zhen Li

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Preprint Sep 2026

REALM: A Coarse-to-Fine Generative Framework for Embodied Reactive Listening

Generating responsive listener facial motion is an important task for embodied conversational AI. Two modeling challenges are central: accounting for the timing of speaker cues while maintaining continuity with the listener's ongoing motion, and capturing locally variable facial events alongside the overall motion traj...

Pei-Zhen Li, Long-Bing Cao, Yang Zhang · 1 citation

#artificial intelligence Preprint Sep 2026

Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation

Decoupled Credit Self-Distillation is introduced, which theoretically decouples credit direction and magnitude into two reliable signals and uses them to calibrate privileged teacher supervision, enabling step-to-token credit assignment for policy optimization.

Yu-Gu Li, Ze-Hong Cao, Pei-Zhen Li et al. · 0 citations

#robotics Jul 2026

PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction

PACE (Persona Adaptation through Conversational Elicitation), a novel framework for the interactive generation and deployment of structured personas on the Ameca humanoid robot, introduces an Interactive Persona Elicitation Pipeline, enabling the robot to dynamically synthesize a tailored, psychologically grounded iden...

Peizhen Li, Longbing Cao, Megani Rajendran et al. · arXiv.org · 0 citations