Author

Yi-Fan Yu

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#artificial intelligence Preprint Sep 2026

From Position Risks to Block Survival: Faster Generation for Diffusion Language Models

Diffusion language models (DLMs) can accelerate generation by predicting multiple tokens in parallel, but there is a mismatch between how these tokens are predicted and how they ultimately contribute to generation. Parallel predictions can hardly condition on the tokens selected earlier within the same block, even thou...

Si-Wei Chen, Yu-Xiang Wan, Yi-Fan Yu et al. · 0 citations

#natural language process... Preprint Sep 2026

Osprey: Target-agnostic Pre-training Makes Stronger Drafters in Speculative Decoding

Speculative decoding is critical for accelerating LLM inference. However, the speedup is fragile: drafters are typically trained against a narrow distribution for a single target model, and their acceptance rate collapses under workload shifts. This is a striking inversion of modern LLM development, where target models...

Fengxiang Bie, Yu-Qing Jian, Yi-Fan Yu et al. · 0 citations