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cs.LG2026
LLM Compression with Jointly Optimizing Architectural and Quantization choices
Hoang-Loc La, Truong-Thanh Le, Amir Taherkordi +1
Deploying large language models (LLMs) is challenging due to their significant memory and computational requirements. While some methods address this by developing small or tiny la…
cs.LG2025
Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset
Hoang-Loc La, Phuong Hoai Ha
Many studies estimate energy consumption using proxy metrics like memory usage, FLOPs, and inference latency, with the assumption that reducing these metrics will also lower energy…