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E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Paper • 2601.00423 • Published • 11 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 235 -
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
Paper • 2601.18150 • Published • 11 -
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
Paper • 2601.20218 • Published • 16
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AI & ML interests
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Recent Activity
updated a collection 26 days ago
Quantitation liked a dataset 27 days ago
TIGER-Lab/OmniEdit-Filtered-1.2M liked a dataset 29 days ago
openvivo/VINS-120KOrganizations
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Distillation
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SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Paper • 2511.22677 • Published • 36 -
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 4 -
Improved Distribution Matching Distillation for Fast Image Synthesis
Paper • 2405.14867 • Published • 19
Quantitation
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QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Paper • 2510.11696 • Published • 183 -
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
Paper • 2510.25602 • Published • 81 -
6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
Paper • 2603.18742 • Published • 11 -
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Paper • 2607.02461 • Published • 41
Attention
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Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
Paper • 2505.18875 • Published • 42 -
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models
Paper • 2506.16054 • Published • 60 -
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Paper • 2410.02367 • Published • 50 -
Radial Attention: O(nlog n) Sparse Attention with Energy Decay for Long Video Generation
Paper • 2506.19852 • Published • 43
RL
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E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Paper • 2601.00423 • Published • 11 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 235 -
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
Paper • 2601.18150 • Published • 11 -
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
Paper • 2601.20218 • Published • 16
Quantitation
-
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Paper • 2510.11696 • Published • 183 -
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
Paper • 2510.25602 • Published • 81 -
6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
Paper • 2603.18742 • Published • 11 -
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Paper • 2607.02461 • Published • 41
Distillation
-
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Paper • 2511.22677 • Published • 36 -
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 4 -
Improved Distribution Matching Distillation for Fast Image Synthesis
Paper • 2405.14867 • Published • 19
Attention
-
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
Paper • 2505.18875 • Published • 42 -
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models
Paper • 2506.16054 • Published • 60 -
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Paper • 2410.02367 • Published • 50 -
Radial Attention: O(nlog n) Sparse Attention with Energy Decay for Long Video Generation
Paper • 2506.19852 • Published • 43