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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.71k • 1.24k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 358 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
Collections
Discover the best community collections!
Collections including paper arxiv:2510.26583
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Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 108 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 35 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.71k • 1.24k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 358 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 108 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 35 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45