SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation Paper • 2410.14745 • Published 11 days ago • 45
Why Does the Effective Context Length of LLMs Fall Short? Paper • 2410.18745 • Published 4 days ago • 15
MiniPLM: Knowledge Distillation for Pre-Training Language Models Paper • 2410.17215 • Published 6 days ago • 12
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Paper • 2408.07666 • Published Aug 14 • 2
Memory-Efficient LLM Training with Online Subspace Descent Paper • 2408.12857 • Published Aug 23 • 11
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution Paper • 2409.12191 • Published Sep 18 • 73
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization Paper • 2409.12903 • Published Sep 19 • 21
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Paper • 2410.02367 • Published 25 days ago • 45
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning Paper • 2409.20566 • Published 28 days ago • 51
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Paper • 2409.17481 • Published Sep 26 • 46
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models Paper • 2409.17066 • Published Sep 25 • 27