Collection by 
Jun 7
Collections
Discover the best community collections!
Collections including paper arxiv:2406.14909
Collection by 
Oct 9, 2025
-
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Paper • 2412.17153 • Published • 39 -
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Paper • 2307.15337 • Published • 39 -
DiTFastAttn: Attention Compression for Diffusion Transformer Models
Paper • 2406.08552 • Published • 25
Collection by 
Jul 7, 2024
-
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 19 -
Mixtral of Experts
Paper • 2401.04088 • Published • 162 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 64
Collection by 
Nov 22, 2024
-
Large Language Model Unlearning via Embedding-Corrupted Prompts
Paper • 2406.07933 • Published • 8 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 41 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 19 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
Collection by 
Jul 27, 2024
-
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 56 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 90 -
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression
Paper • 2406.14909 • Published • 16
Collection by Jun 7
Collection by Nov 22, 2024
-
Large Language Model Unlearning via Embedding-Corrupted Prompts
Paper • 2406.07933 • Published • 8 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 41 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 19 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
Collection by Oct 9, 2025
-
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Paper • 2412.17153 • Published • 39 -
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Paper • 2307.15337 • Published • 39 -
DiTFastAttn: Attention Compression for Diffusion Transformer Models
Paper • 2406.08552 • Published • 25
Collection by Jul 27, 2024
-
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 56 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 90 -
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression
Paper • 2406.14909 • Published • 16
Collection by Jul 7, 2024
-
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 19 -
Mixtral of Experts
Paper • 2401.04088 • Published • 162 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 64