Author

Hua Chai

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#artificial intelligence Preprint Oct 2026

Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels

Deep search agents extend language models by interleaving reasoning with external retrieval. However, effective search-agent training requires addressing two challenges beyond final-answer optimization. First, the capability frontier of agents is largely determined by training questions, whereas fixed or labeled task c...

Qin-Wen Luo, Sheng Ren, Xiang Chen et al. · 0 citations

Preprint Aug 2026

Phoenix TTS: High-Fidelity Synthesis and Voice Conversion via Flow-Matching-Driven Speech Tokenization

This work proposes Phoenix TTS, a unified framework that tightly couples representation learning with generative acoustic modeling and is optimized to reconstruct self-supervised features to maintain semantic richness, while simultaneously receiving direct supervision from a Flow Matching training loss.

Pei-Jie Chen, Zhuanling Zha, Zhipeng Nie et al. · 0 citations