4 papers
CSD: Content-aware Speculative Decoding for Efficient Image Generation
Mingcheng Wang, Junbo Qiao, Yunchen Li +8
Speculative decoding (SD) has emerged as a key solution to accelerate the inference of autoregressive models. However, in the field of image generation, it faces the challenge of l…
Generation Properties of Stochastic Interpolation under Finite Training Set
Yunchen Li, Shaohui Lin, Zhou Yu
This paper investigates the theoretical behavior of generative models under finite training populations. Within the stochastic interpolation generative framework, we derive closed-…
A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models
Yunchen Li, Shaohui Lin, Zhou Yu
This paper provides a theoretical account of memorization in stochastic interpolation models. By leveraging closed-form expressions for the optimal velocity field and the associate…
Factorization-Error-Free Discrete Diffusion Language Model via Speculative Decoding
Xun Fang, Yunchen Li, Hang Yuan +1
Discrete diffusion language models improve generation efficiency through parallel token prediction, but standard prediction methods introduce factorization errors by approxim…