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20242026
most citedModel Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

1 citations · 3 across the 6 of their papers we have counts for

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cs.AI2026

xPress: Parallel Refinement for Diffusion Drafters in Speculative Decoding

Zheng Wang, Davis Wertheimer, Yu Chin Fabian Lim +4

Block-diffusion drafters like dFlash generate an entire block of draft tokens in a single forward pass, drastically reducing the overhead of multiple-token drafting in speculative…

cs.AI2026

PRESTO: Prefix-Aligned Tree Drafting for Diffusion Speculative Decoding

Zheng Wang, Zhifan Ye, Qi Cheng +8

Diffusion Large Language Models (dLLMs) have emerged as a promising alternative to autoregressive (AR) LLMs, generating tokens in parallel. This makes them effective draft models f…