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The J-lens reveals that language models operate with a surprisingly sparse causal structure, concentrating energy in specific pathways to predict future outputs.
FullDiT not only outperforms leading commercial music generators but also redefines how we approach music rendering by leveraging full-context generation techniques.
Unified generation of temporally structured audio achieves unprecedented speaker similarity and cross-turn consistency without task-specific branches.
Achieving state-of-the-art performance in speech synthesis, Qwen-Audio-3.0-TTS excels in multilingual support and robustness against challenging audio conditions.
Achieving high-quality full-length song generation from diverse inputs, this framework outperforms existing methods in musicality and fidelity.
