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Collections including paper arxiv:2507.07104

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 • 19
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 64
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles

Paper • 2505.23590 • Published May 29, 2025 • 25
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning

Paper • 2505.24273 • Published May 30, 2025 • 5
Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Paper • 2506.00413 • Published May 31, 2025 • 10
DINGO: Constrained Inference for Diffusion LLMs

Paper • 2505.23061 • Published May 29, 2025 • 31

Qwen2.5-Omni Technical Report

Paper • 2503.20215 • Published Mar 26, 2025 • 173
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28, 2025 • 46
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29, 2025 • 22
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Paper • 2505.21523 • Published May 23, 2025 • 13

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 31
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Paper • 2507.09477 • Published Jul 13, 2025 • 89
Replacing thinking with tool usage enables reasoning in small language models

Paper • 2507.05065 • Published Jul 7, 2025 • 17
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research

Paper • 2507.13300 • Published Jul 17, 2025 • 20
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9, 2025 • 46

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30, 2025 • 14
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9, 2025 • 46
KV Cache Steering for Inducing Reasoning in Small Language Models

Paper • 2507.08799 • Published Jul 11, 2025 • 40
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10, 2025 • 193

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 31
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1, 2025 • 110
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 27
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 107

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 • 19
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 64
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

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 • 19
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 64
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Paper • 2507.09477 • Published Jul 13, 2025 • 89
Replacing thinking with tool usage enables reasoning in small language models

Paper • 2507.05065 • Published Jul 7, 2025 • 17
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research

Paper • 2507.13300 • Published Jul 17, 2025 • 20
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9, 2025 • 46

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles

Paper • 2505.23590 • Published May 29, 2025 • 25
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning

Paper • 2505.24273 • Published May 30, 2025 • 5
Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Paper • 2506.00413 • Published May 31, 2025 • 10
DINGO: Constrained Inference for Diffusion LLMs

Paper • 2505.23061 • Published May 29, 2025 • 31

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30, 2025 • 14
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9, 2025 • 46
KV Cache Steering for Inducing Reasoning in Small Language Models

Paper • 2507.08799 • Published Jul 11, 2025 • 40
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10, 2025 • 193

Qwen2.5-Omni Technical Report

Paper • 2503.20215 • Published Mar 26, 2025 • 173
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28, 2025 • 46
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29, 2025 • 22
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Paper • 2505.21523 • Published May 23, 2025 • 13

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 31
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1, 2025 • 110
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 27
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 107

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 31
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

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 • 19
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 64
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

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