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Collections including paper arxiv:2502.10389

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 • 78

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 287
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9, 2025 • 54
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15, 2025 • 10
FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16, 2025 • 27

A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 29
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14, 2025 • 53

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Paper • 2407.08083 • Published Jul 10, 2024 • 32
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63
The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Paper • 2408.15237 • Published Aug 27, 2024 • 42
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Paper • 2409.11355 • Published Sep 17, 2024 • 30

Prompt-to-Leaderboard

Paper • 2502.14855 • Published Feb 20, 2025 • 7
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper • 2502.16894 • Published Feb 24, 2025 • 32
Generating Skyline Datasets for Data Science Models

Paper • 2502.11262 • Published Feb 16, 2025 • 7
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge

Paper • 2502.12501 • Published Feb 18, 2025 • 6

Diffusion/Flow Model Optimization

1.58-bit FLUX

Paper • 2412.18653 • Published Dec 24, 2024 • 86
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14, 2025 • 53
One-step Diffusion Models with f-Divergence Distribution Matching

Paper • 2502.15681 • Published Feb 21, 2025 • 8
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Paper • 2502.20126 • Published Feb 27, 2025 • 19

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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 • 78

Prompt-to-Leaderboard

Paper • 2502.14855 • Published Feb 20, 2025 • 7
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper • 2502.16894 • Published Feb 24, 2025 • 32
Generating Skyline Datasets for Data Science Models

Paper • 2502.11262 • Published Feb 16, 2025 • 7
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge

Paper • 2502.12501 • Published Feb 18, 2025 • 6

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 287
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9, 2025 • 54
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15, 2025 • 10
FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16, 2025 • 27

Diffusion/Flow Model Optimization

1.58-bit FLUX

Paper • 2412.18653 • Published Dec 24, 2024 • 86
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14, 2025 • 53
One-step Diffusion Models with f-Divergence Distribution Matching

Paper • 2502.15681 • Published Feb 21, 2025 • 8
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Paper • 2502.20126 • Published Feb 27, 2025 • 19

A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 29
Region-Adaptive Sampling for Diffusion Transformers

Paper • 2502.10389 • Published Feb 14, 2025 • 53

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Paper • 2407.08083 • Published Jul 10, 2024 • 32
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63
The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Paper • 2408.15237 • Published Aug 27, 2024 • 42
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Paper • 2409.11355 • Published Sep 17, 2024 • 30

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