Author

Can Xie

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#artificial intelligence Preprint Oct 2026

CoSTA: Compressed Speech Token Adaptation for Efficient Spoken Dialogue Models

Spoken Dialogue Models (SDMs) typically share a speech-token space for generation and synthesis, leading to long autoregressive sequences and costly inference. Lower-rate speech tokenizers shorten sequences but may introduce compression-quality trade-offs and costly replacement without breaking this coupling. To addres...

Ying-Zhuo Deng, Chong Li, Bing Liu et al. · 0 citations

Preprint Aug 2026

EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning

This work proposes EDGE (Experience-Distillation for Guided Exploration), a framework that treats retrieved experiences as temporary training-time scaffolds and progressively internalizes their benefits into the parametric policy.

Can Xie, Yu-Yi Zhou, Wen Yang et al. · 2 citations