13 citations · 44 across the 13 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
TIPS: A Tiny Inference-time Policy for Scaling in Diffusion Language Models
Ya-Shi Zhang, Jian Tang, Pierre-André Noël +1
Masked diffusion language models expose an inference-time choice: which positions become visible after each denoising pass. Many existing decoding methods use hand-designed rules o…
cs.LG2026
Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at Scale
Vaibhav Singh, Pierre-André Noël, Torsten Scholak +2
Diffusion language models decode tokens in parallel, but their bidirectional denoiser rules out the naive key--value (KV) cache behind fast autoregressive inference. Block diffusio…