Papers by Guoqi Yu

1 papers
Language Model Based Text-to-Audio Generation: Anti-Causally Aligned Collaborative Residual Transformers (2025.emnlp-main)

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Challenge: Autoregressive language models excel in text-to-audio generation, but lag behind diffusion models by a non-trivial margin.
Approach: They propose a framework that integrates multiple isolated transformers with causal conditioning and anti-causal alignment via reinforcement learning.
Outcome: The proposed framework outperforms existing LM-based and diffusion-based systems in audio synthesis.

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