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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 • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2508.19652
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Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 22 -
Diffusion Language Models Know the Answer Before Decoding
Paper • 2508.19982 • Published • 22 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 14 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 243
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Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
Paper • 2505.02471 • Published • 12 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 79 -
Self-Rewarding Vision-Language Model via Reasoning Decomposition
Paper • 2508.19652 • Published • 77
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RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 5
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 17 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 45
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 6.06k • 1.16k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 14 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 1.19k • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
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facebook/w2v-bert-2.0
Feature Extraction • 0.6B • Updated • 150k • 179 -
facebook/metaclip-h14-fullcc2.5b
Zero-Shot Image Classification • 1.0B • Updated • 40.7k • 42 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 8.98M • 1.85k -
Salesforce/blip-image-captioning-large
Image-to-Text • 0.5B • Updated • 1.2M • 1.4k
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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 • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
-
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 22 -
Diffusion Language Models Know the Answer Before Decoding
Paper • 2508.19982 • Published • 22 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 14 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 243
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 17 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 45
-
Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
Paper • 2505.02471 • Published • 12 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 79 -
Self-Rewarding Vision-Language Model via Reasoning Decomposition
Paper • 2508.19652 • Published • 77
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 6.06k • 1.16k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 14 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 1.19k • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 5
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facebook/w2v-bert-2.0
Feature Extraction • 0.6B • Updated • 150k • 179 -
facebook/metaclip-h14-fullcc2.5b
Zero-Shot Image Classification • 1.0B • Updated • 40.7k • 42 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 8.98M • 1.85k -
Salesforce/blip-image-captioning-large
Image-to-Text • 0.5B • Updated • 1.2M • 1.4k