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Collections including paper arxiv:2505.15270

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Paper • 2412.11605 • Published Dec 16, 2024 • 18
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Paper • 2412.17739 • Published Dec 23, 2024 • 41
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10

Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 83
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54
Scaling Diffusion Transformers Efficiently via μP

Paper • 2505.15270 • Published May 21 • 35
Vision Transformers Don't Need Trained Registers

Paper • 2506.08010 • Published Jun 9 • 22

Diffusion/Flow Model Optimization

1.58-bit FLUX

Paper • 2412.18653 • Published Dec 24, 2024 • 85
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14 • 53
One-step Diffusion Models with f-Divergence Distribution Matching

Paper • 2502.15681 • Published Feb 21 • 8
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Paper • 2502.20126 • Published Feb 27 • 20

ByteDance Papers

ByteDance papers collection

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Paper • 2105.09501 • Published May 20, 2021
Cross-modal Contrastive Learning for Speech Translation

Paper • 2205.02444 • Published May 5, 2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs

Paper • 2210.03052 • Published Oct 6, 2022
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Paper • 2212.10240 • Published Dec 20, 2022 • 1

Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 123
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published Mar 12 • 74
MMaDA: Multimodal Large Diffusion Language Models

Paper • 2505.15809 • Published May 21 • 97
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Paper • 2412.11605 • Published Dec 16, 2024 • 18
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Paper • 2412.17739 • Published Dec 23, 2024 • 41
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10

ByteDance Papers

ByteDance papers collection

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Paper • 2105.09501 • Published May 20, 2021
Cross-modal Contrastive Learning for Speech Translation

Paper • 2205.02444 • Published May 5, 2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs

Paper • 2210.03052 • Published Oct 6, 2022
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Paper • 2212.10240 • Published Dec 20, 2022 • 1

Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 83
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54
Scaling Diffusion Transformers Efficiently via μP

Paper • 2505.15270 • Published May 21 • 35
Vision Transformers Don't Need Trained Registers

Paper • 2506.08010 • Published Jun 9 • 22

Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 123
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published Mar 12 • 74
MMaDA: Multimodal Large Diffusion Language Models

Paper • 2505.15809 • Published May 21 • 97
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54

Diffusion/Flow Model Optimization

1.58-bit FLUX

Paper • 2412.18653 • Published Dec 24, 2024 • 85
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14 • 53
One-step Diffusion Models with f-Divergence Distribution Matching

Paper • 2502.15681 • Published Feb 21 • 8
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Paper • 2502.20126 • Published Feb 27 • 20

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

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