14 citations · 31 across the 11 of their papers we have counts for
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cs.LG2026
When Should an In-Context Learner Expand Its Hypothesis Space?
Weihan Li, Xinlei Chen, Junhao Wu +1
Learning systems adapt quickly inside a familiar family of models. The harder step comes earlier: deciding, from observations that could be noise, an exception, a change within the…
cs.IT2026
Exact Second-Order Asymptotics for the Wyner--Ahlswede--Körner Problem
Daming Cao
We determine the exact local second-order rate region of the finite-alphabet Wyner--Ahlswede--Körner problem under full support, at informative boundary points exposed by a finite…
cs.CL2026
Flatter Tokens are More Valuable for Speculative Draft Model Training
Jiaming Fan, Daming Cao, Xiangzhong Luo +3
Speculative Decoding (SD) is a key technique for accelerating Large Language Model (LLM) inference, but it typically requires training a draft model on a large dataset. We approach…