no code implementations • 30 Apr 2024 • Samir Arora, Liangliang Wang
Full fine-tuning is a popular approach to adapt Transformer-based pre-trained large language models to a specific downstream task.
no code implementations • NeurIPS 2019 • Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd T. Elliott
The Ostomachion process and the self-consistent binary space partitioning-tree process were recently introduced as generalizations of the Mondrian process for space partitioning with non-axis aligned cuts in the two dimensional plane.
no code implementations • NeurIPS 2012 • Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté
We propose a novel method for scalable parallelization of SMC algorithms, Entangled Monte Carlo simulation (EMC).
