Collections
Discover the best community collections!
Collections including paper arxiv:2508.18265
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Attention Is All You Need
Paper • 1706.03762 • Published • 145 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
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InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 312 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 350 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
Paper • 2509.18905 • Published • 31
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InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 212 -
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Paper • 2504.15271 • Published • 69
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InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 144 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 161 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 128
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
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Apriel-1.5-15b-Thinker
Paper • 2510.01141 • Published • 125 -
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
Paper • 2509.21268 • Published • 103 -
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
Paper • 2509.00676 • Published • 85 -
Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84
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rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 121 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 161 -
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Paper • 2508.14029 • Published • 109 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221
-
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
OpenGVLab/InternVL3_5-241B-A28B-HF
Image-Text-to-Text • 241B • Updated • 265 • 12 -
OpenGVLab/InternVL3_5-38B-HF
Image-Text-to-Text • 38B • Updated • 2.05k • 6 -
OpenGVLab/InternVL3_5-30B-A3B-HF
Image-Text-to-Text • 31B • Updated • 1.35k • 9
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
-
Attention Is All You Need
Paper • 1706.03762 • Published • 145 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Apriel-1.5-15b-Thinker
Paper • 2510.01141 • Published • 125 -
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
Paper • 2509.21268 • Published • 103 -
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
Paper • 2509.00676 • Published • 85 -
Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84
-
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 312 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 350 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
Paper • 2509.18905 • Published • 31
-
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 121 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 161 -
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Paper • 2508.14029 • Published • 109 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221
-
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 212 -
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Paper • 2504.15271 • Published • 69
-
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 144 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 161 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 128
-
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 221 -
OpenGVLab/InternVL3_5-241B-A28B-HF
Image-Text-to-Text • 241B • Updated • 265 • 12 -
OpenGVLab/InternVL3_5-38B-HF
Image-Text-to-Text • 38B • Updated • 2.05k • 6 -
OpenGVLab/InternVL3_5-30B-A3B-HF
Image-Text-to-Text • 31B • Updated • 1.35k • 9