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Yeguo Hua

2 accepted papers

2026

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

ICML 2026oral

Diffusion Large Language Models (dLLMs) break the rigid left-to-right constraint of traditional LLMs, enabling token generation in arbitrary orders. Intuitively, this flexibility implies a solution space that strictly supersets the fixed autoregressive trajectory, theoretically unlocking superior re…

Cited by 0SourceScholar
2025

CODA: Repurposing Continuous VAEs for Discrete Tokenization

ICCV 2025poster

Discrete visual tokenizers transform images into a sequence of tokens, enabling token-based visual generation akin to language models. However, this process is inherently challenging, as it requires both compressing visual signals into a compact representation and discretizing them into a fixed set…

Cited by 0SourcePDFScholar