3 papers
cs.LG2026
AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems
Penglin Dai, Zijie Zhou, Xincao Xu +3
Deploying neural networks on microcontroller units (MCUs) is critical for edge intelligence but remains challenging due to tight memory, storage, and computation constraints. Exist…
cs.LG2026
FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs
Penglin Dai, Fulian Li, Xincao Xu +3
Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving distributed learning. However, existing FL methods face a fundamental challenge. Traditional aver…
cs.CL2026
MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
Yuanqing Cai, Ziyi Huang, Minhao Liu +3
Large language models (LLMs) are increasingly integrated into high-stakes decision-making. Inspired by the theory of \emph{inattentional blindness} in human cognition, we investiga…