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cs.LG2026
Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
Rahul Thomas, Teo Kitanovski, Micah Goldblum +1
Multi-path speculative decoding accelerates lossless sampling from a target model by using a cheaper draft model to generate a draft tree of tokens, and then applies a verification…
cs.LG2025
Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Minimization
Rahul Krishna Thomas, Arka Pal
Speculative sampling reduces the latency of autoregressive decoding for target model LLMs without sacrificing inference quality, by using a cheap draft model to suggest a candidate…
cs.LG2025
Cascade: Token-Sharded Private LLM Inference
Rahul Thomas, Louai Zahran, Erica Choi +3
As LLMs continue to increase in parameter size, the computational resources required to run them are available to fewer parties. Therefore, third-party inference services -- where…