Collection by
8 days ago
8 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2504.12285
Collection by
about 18 hours ago
about 18 hours ago
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 148 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 13 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
Collection by
about 21 hours ago
about 21 hours ago
Collection by
16 days ago
16 days ago
Collection by
17 days ago
17 days ago
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BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 70 -
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Paper • 2504.11393 • Published • 17 -
Efficient Process Reward Model Training via Active Learning
Paper • 2504.10559 • Published • 13 -
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Paper • 2504.13161 • Published • 88
Collection by
16 days ago
16 days ago
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DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 83 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 102 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 70 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 24
Collection by
20 days ago
20 days ago
Collection by
7 days ago
7 days ago
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R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper • 2503.10615 • Published • 17 -
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Paper • 2503.10630 • Published • 6 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 30 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 86
Collection by
5 days ago
5 days ago
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Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 88 -
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Paper • 2501.11873 • Published • 66 -
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Paper • 2502.11089 • Published • 156 -
MoBA: Mixture of Block Attention for Long-Context LLMs
Paper • 2502.13189 • Published • 17
Collection by
10 days ago
10 days ago
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MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 45 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 85 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 29