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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 • 19 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 15 -
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:2407.18245
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VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads
Paper • 2407.18245 • Published • 11 -
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark
Paper • 2409.15041 • Published • 13 -
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Paper • 2410.09732 • Published • 54 -
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures
Paper • 2410.13754 • Published • 76
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RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper • 2404.07839 • Published • 49 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper • 2404.05674 • Published • 14 -
Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 63
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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 • 19 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 15 -
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 • 19 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 15 -
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
-
VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads
Paper • 2407.18245 • Published • 11 -
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark
Paper • 2409.15041 • Published • 13 -
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Paper • 2410.09732 • Published • 54 -
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures
Paper • 2410.13754 • Published • 76
-
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 19 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 15 -
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
-
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper • 2404.07839 • Published • 49 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper • 2404.05674 • Published • 14 -
Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 63