2 papers
cs.LG2026
Discrete Flow Matching Policy Optimization
Maojiang Su, Po-Chung Hsieh, Weimin Wu +4
We introduce Discrete flow Matching policy Optimization (DoMinO), a unified framework for Reinforcement Learning (RL) fine-tuning Discrete Flow Matching (DFM) models under a broad…
cs.CV2024
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
Jiun-Man Chen, Yu-Hsuan Chao, Yu-Jie Wang +3
Transformer-based models have gained widespread popularity in both the computer vision (CV) and natural language processing (NLP) fields. However, significant challenges arise duri…