14 citations · 31 across the 11 of their papers we have counts for
12 papers
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…
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…
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…
Covert Communication Gains from Adversary's Uncertainty of Phase Angles
Sen Qiao, Daming Cao, Qiaosheng Zhang +2
This work investigates the phase gain of intelligent reflecting surface (IRS) covert communication over complex-valued additive white Gaussian noise (AWGN) channels. The transmitte…
Privacy-Utility Tradeoff for Hypothesis Testing Over A Noisy Channel
Lin Zhou, Daming Cao
We study a hypothesis testing problem with a privacy constraint over a noisy channel and derive the performance of optimal tests under the Neyman-Pearson criterion. The fundamental…
Characterizing Linear Memory-Rate Tradeoff of Coded Caching: The Case
Daming Cao, Yinfei Xu
We consider the cache problem introduced by Maddah-ali and Niesen [1] for the case, and use the computer-aided approach to derive the tight linear memory-rate trade-o…