2 papers
cs.LG2026
BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization
Jiayu Zhao, Zihan Teng, Minhao Fan +4
Mixture-of-Experts (MoE) large language models reduce per-token computation through sparse expert activation, but their deployment remains memory-intensive because all expert weigh…
cs.AR2025
VeriGRAG: Enhancing LLM-Based Verilog Code Generation with Structure-Aware Soft Prompts
Jiayu Zhao, Song Chen
Large language models (LLMs) have demonstrated strong capabilities in generating Verilog code from natural language descriptions. However, Verilog code inherently encodes structura…