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Chang-Xiao Cai

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#artificial intelligence Preprint Oct 2026

Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds

A theoretical framework for training and evaluating parallel and semi-autoregressive drafters by representing speculative decoding as a Markov reward process, which yields the Expected Decoding Rounds (EDR) objective, which weights local rejection costs by state occupancies and exactly equals the expected number of dec...

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

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