2 papers
cs.AI2026
LLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model Agents
Dongsheng Xiao, Zeyuan Wang, Xuzhe Xia +2
Large language models (LLMs) can plan, use tools, write code, and execute long-horizon workflows, yet strong local competence does not guarantee project-level executive control. Ag…
cs.IT2025
On the Worst-Case Complexity of Gibbs Decoding for Reed--Muller Codes
Xuzhe Xia, Nicholas Kwan, Lele Wang
Reed--Muller (RM) codes are known to achieve capacity on binary symmetric channels (BSC) under the Maximum a Posteriori (MAP) decoder. However, it remains an open problem to design…