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MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 21 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 17 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 17 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
Collections
Discover the best community collections!
Collections including paper arxiv:2509.12201
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FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 77 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 120 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 68 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
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MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Paper • 2508.14879 • Published • 69 -
VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
Paper • 2508.19247 • Published • 44 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Multi-View 3D Point Tracking
Paper • 2508.21060 • Published • 23
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SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 32 -
Kvasir-VQA: A Text-Image Pair GI Tract Dataset
Paper • 2409.01437 • Published • 71 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 49
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Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Paper • 2507.01352 • Published • 61 -
A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models
Paper • 2507.13563 • Published • 53 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 39 -
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
Paper • 2511.14993 • Published • 235
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World Modeling with Probabilistic Structure Integration
Paper • 2509.09737 • Published • 14 -
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Paper • 2509.09926 • Published • 14 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
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Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84 -
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Paper • 2509.05263 • Published • 11 -
Symbolic Graphics Programming with Large Language Models
Paper • 2509.05208 • Published • 47 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
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Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 54 -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Paper • 2410.01215 • Published • 39 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 123 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29
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MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 21 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 17 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 17 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
-
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 21 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 17 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 17 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
-
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Paper • 2507.01352 • Published • 61 -
A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models
Paper • 2507.13563 • Published • 53 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 39 -
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
Paper • 2511.14993 • Published • 235
-
World Modeling with Probabilistic Structure Integration
Paper • 2509.09737 • Published • 14 -
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Paper • 2509.09926 • Published • 14 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
-
FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 77 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 120 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 68 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
-
Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84 -
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Paper • 2509.05263 • Published • 11 -
Symbolic Graphics Programming with Large Language Models
Paper • 2509.05208 • Published • 47 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
-
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Paper • 2508.14879 • Published • 69 -
VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
Paper • 2508.19247 • Published • 44 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Multi-View 3D Point Tracking
Paper • 2508.21060 • Published • 23
-
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 54 -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Paper • 2410.01215 • Published • 39 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 123 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29
-
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 32 -
Kvasir-VQA: A Text-Image Pair GI Tract Dataset
Paper • 2409.01437 • Published • 71 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 49
-
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 21 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 17 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 17 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31