Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Paper • 2405.21060 • Published May 31 • 62
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Paper • 2404.12253 • Published Apr 18 • 52
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU Paper • 2403.06504 • Published Mar 11 • 53
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Paper • 2403.03507 • Published Mar 6 • 182
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Paper • 2402.19427 • Published Feb 29 • 52
Beyond Language Models: Byte Models are Digital World Simulators Paper • 2402.19155 • Published Feb 29 • 49
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers Paper • 2402.19479 • Published Feb 29 • 32
Linear Transformers with Learnable Kernel Functions are Better In-Context Models Paper • 2402.10644 • Published Feb 16 • 78