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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
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
Collections
Discover the best community collections!
Collections including paper arXiv:2506.20512
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sii-research/OctoThinker-8B-Long-Base
Text Generation • 8B • Updated • 11 • 1 -
sii-research/OctoThinker-8B-Hybrid-Base
Text Generation • 8B • Updated • 7 • 1 -
sii-research/OctoThinker-8B-Short-Base
Text Generation • 8B • Updated • 3 -
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47
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OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47 -
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Paper • 2509.15194 • Published • 33 -
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
Paper • 2505.22960 • Published • 16
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Large Language Diffusion Models
Paper • 2502.09992 • Published • 122 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9
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Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
Paper • 2509.05739 • Published • 2 -
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Paper • 2509.03059 • Published • 24 -
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs
Paper • 2509.08358 • Published • 13
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OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47 -
OctoThinker/MegaMath-Web-Pro-Max
Viewer • Updated • 69.2M • 6.22k • 36 -
OctoThinker/OctoThinker-8B-Long-Base
Text Generation • 8B • Updated • 8 -
OctoThinker/OctoThinker-8B-Hybrid-Base
Text Generation • 8B • Updated • 1.2k • 2
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What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 63 -
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Paper • 2411.03884 • Published • 28 -
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
Paper • 2502.00698 • Published • 24
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
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
-
Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
Paper • 2509.05739 • Published • 2 -
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Paper • 2509.03059 • Published • 24 -
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs
Paper • 2509.08358 • Published • 13
-
sii-research/OctoThinker-8B-Long-Base
Text Generation • 8B • Updated • 11 • 1 -
sii-research/OctoThinker-8B-Hybrid-Base
Text Generation • 8B • Updated • 7 • 1 -
sii-research/OctoThinker-8B-Short-Base
Text Generation • 8B • Updated • 3 -
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47
-
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47 -
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Paper • 2509.15194 • Published • 33 -
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
Paper • 2505.22960 • Published • 16
-
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47 -
OctoThinker/MegaMath-Web-Pro-Max
Viewer • Updated • 69.2M • 6.22k • 36 -
OctoThinker/OctoThinker-8B-Long-Base
Text Generation • 8B • Updated • 8 -
OctoThinker/OctoThinker-8B-Hybrid-Base
Text Generation • 8B • Updated • 1.2k • 2
-
Large Language Diffusion Models
Paper • 2502.09992 • Published • 122 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9
-
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 63 -
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Paper • 2411.03884 • Published • 28 -
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
Paper • 2502.00698 • Published • 24