Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22 • 253
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length Paper • 2404.08801 • Published Apr 12 • 63
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10 • 103
PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15 • 57
MoAI: Mixture of All Intelligence for Large Language and Vision Models Paper • 2403.07508 • Published Mar 12 • 75
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 602
Understanding LLMs: A Comprehensive Overview from Training to Inference Paper • 2401.02038 • Published Jan 4 • 62
DocLLM: A layout-aware generative language model for multimodal document understanding Paper • 2401.00908 • Published Dec 31, 2023 • 181
VCoder: Versatile Vision Encoders for Multimodal Large Language Models Paper • 2312.14233 • Published Dec 21, 2023 • 15
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT Paper • 2307.08674 • Published Jul 17, 2023 • 48