The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs Paper • 2504.17768 • Published Apr 24 • 14
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models Paper • 2307.06440 • Published Jul 12, 2023 • 3
Hierarchical Transformers Are More Efficient Language Models Paper • 2110.13711 • Published Oct 26, 2021 • 1
nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources Paper • 2309.02373 • Published Sep 5, 2023 • 1
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference Paper • 2403.09636 • Published Mar 14, 2024 • 3