Mamba: Linear-Time Sequence Modeling with Selective State Spaces Paper • 2312.00752 • Published Dec 1, 2023 • 138
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context Paper • 2403.05530 • Published Mar 8 • 61
Common 7B Language Models Already Possess Strong Math Capabilities Paper • 2403.04706 • Published Mar 7 • 16
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Paper • 2403.03507 • Published Mar 6 • 183
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect Paper • 2403.03853 • Published Mar 6 • 61
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters Paper • 2403.02677 • Published Mar 5 • 16
Resonance RoPE: Improving Context Length Generalization of Large Language Models Paper • 2403.00071 • Published Feb 29 • 22
Simple linear attention language models balance the recall-throughput tradeoff Paper • 2402.18668 • Published Feb 28 • 18
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 603
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method Paper • 2402.17193 • Published Feb 27 • 23
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs Paper • 2402.15627 • Published Feb 23 • 34
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding Paper • 2402.16671 • Published Feb 26 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning? Paper • 2402.16837 • Published Feb 26 • 24
GPTVQ: The Blessing of Dimensionality for LLM Quantization Paper • 2402.15319 • Published Feb 23 • 19
Gemma: Open Models Based on Gemini Research and Technology Paper • 2403.08295 • Published Mar 13 • 47
MoAI: Mixture of All Intelligence for Large Language and Vision Models Paper • 2403.07508 • Published Mar 12 • 74
Simple and Scalable Strategies to Continually Pre-train Large Language Models Paper • 2403.08763 • Published Mar 13 • 49
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM Paper • 2403.07816 • Published Mar 12 • 39
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Paper • 2403.09611 • Published Mar 14 • 125
PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15 • 57
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer Paper • 2403.10301 • Published Mar 15 • 52