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Collections including paper arxiv:2504.05897

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Paper • 2504.05897 • Published Apr 8 • 20

inference optimization

about 1 month ago

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

MoE LLM Systems

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Paper • 2504.05897 • Published Apr 8 • 20

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Paper • 2504.05897 • Published Apr 8 • 20

MoE LLM Systems

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Paper • 2504.05897 • Published Apr 8 • 20

inference optimization

about 1 month ago

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

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