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Papers
SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling
NSDI 2026
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
ICML 2025
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
CVPR 2025
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
ICLR 2025
Scaling FP8 training to trillion-token LLMs
ICLR 2025
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
EMNLP 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
ICML 2024
Memory-Efficient LLM Training with Online Subspace Descent
NeurIPS 2024
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NeurIPS 2023
8-bit Optimizers via Block-wise Quantization
ICLR 2022