9 papers
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning
Zhiren Gong, Zihao Zeng, Zijie Wang +3
Structured pruning compresses large language models (LLMs) by removing whole computational units, such as attention heads and feed-forward (FFN) channel groups. Most training-free…
Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits
Zhiren Gong, Zihao Zeng, Chau Yuen +1
Mechanistic interpretability often relies on component-level interventions to discover how a model produces a behavior. This guides attribution, capability knockout, and model prun…
Rydberg Atomic Quantum Receivers for Wireless Communications: Two-Color vs. Three-Color Excitation
Jian Xiao, Tierui Gong, Ji Wang +2
An efficient three-color (3C) laser excitation-based Rydberg atomic quantum receiver (RAQR) architecture is investigated for wireless communications, utilizing a five-level (5L) el…
XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
Gong Zhiren, Tiantong Wu, Jiaming Zhang +9
Large Language Models (LLMs) are increasingly deployed for knowledge synthesis, yet their capacity for compositional generalization in scientific knowledge remains under-characteri…
Signal-Dependent Shot Noise Modeling of Rydberg Atomic Quantum Receivers: A Design Perspective
Qihao Peng, Qu Luo, Tierui Gong +8
In this paper, we develop a communication-oriented complex baseband equivalent model for superheterodyne Rydberg atomic quantum receivers (RAQRs). The model explicitly captures pho…
Wireless large AI model: shaping the AI-empowered future of 6G and beyond
Fenghao Zhu, Xinquan Wang, Siming Jiang +22
The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligenc…