Yutao Sun
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The paper proposes Cross-Layer Sparse Attention (CLSA) to significantly improve the efficiency and accuracy of long-context LLMs by jointly optimizing KV-cache sharing and the routing index across decoder layers.
This paper introduces StellarTTS, a mobile-optimized non-autoregressive text-to-speech framework with sparse temporal embeddings and a semantic-aware codec, achieving lower latency and stronger robustness.
Papers
StellarTTS: Sparse Temporal Embedding for Low-Latency and Robust Speech Synthesis
Kaicheng Luo, Xuefei Gong, Yutao Sun, Jinling He +5 more
This paper introduces StellarTTS, a mobile-optimized non-autoregressive text-to-speech framework with sparse temporal embeddings and a semantic-aware codec, achieving lower latency and stronger robust…