Author

Hua Chai

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#artificial intelligence Preprint Oct 2026

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

Experiments on seven general-domain and multi-hop question answering benchmarks demonstrate that \textsc{ZEST-Search} consistently improves search-agent performance while achieving higher tool efficiency without labeled search-training data or expert search trajectories.

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