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Collections including paper arxiv:2502.13063

about 18 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 42
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published 8 days ago • 46
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published 8 days ago • 62

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Paper • 2502.08910 • Published 14 days ago • 141
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published 8 days ago • 62
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Paper • 2502.11089 • Published 11 days ago • 134
LLM Pretraining with Continuous Concepts

Paper • 2502.08524 • Published 14 days ago • 27

about 13 hours ago

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Paper • 2502.08910 • Published 14 days ago • 141
TransMLA: Multi-head Latent Attention Is All You Need

Paper • 2502.07864 • Published 15 days ago • 44
LM2: Large Memory Models

Paper • 2502.06049 • Published 17 days ago • 29
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Paper • 2502.11089 • Published 11 days ago • 134

about 17 hours ago

Large Language Models Think Too Fast To Explore Effectively

Paper • 2501.18009 • Published 28 days ago • 23
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published 29 days ago • 108
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published 9 days ago • 14
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published 8 days ago • 62

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

about 23 hours ago

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 40
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 117
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 43

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