IEEE

SSFT: Algorithm and Hardware Co-design for Structured Sparse Fine-Tuning of Large Language Models

Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...
IEEE

Sign-Enhanced Semidefinite Programming Algorithm and its Application to Independent Component Analysis

Abstract: Independent component analysis (ICA) is widely applied in remote sensing signal processing. Among various ICA algorithms, the modified semidefinite programming (MSDP) algorithm stands out.
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...