Author

Chang-Xiao Cai

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#artificial intelligence Preprint Oct 2026

Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds

Speculative decoding accelerates large language model inference by using a low-cost draft model to propose tokens that the full-size target model verifies in parallel. Parallel and semi-autoregressive (semi- AR) drafters improve drafting efficiency by proposing an entire block in a single forward pass, but training the...

Yun-Xiao Zhao, Chang-Xiao Cai · 0 citations

Preprint Aug 2026

ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings

An embedding-space flow-based LM, which constrains the data predictor to the convex hull of token embeddings and trains it solely with the mean squared error objective induced by flow matching, enabling direct token prediction without a CE-supervised decoder.

Na Li, Yuchen Jiao, Chang-Xiao Cai et al. · 2 citations