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Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 29 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49
Collections
Discover the best community collections!
Collections including paper arxiv:2511.09515
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VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 239 -
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
Paper • 2510.01623 • Published • 10 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Paper • 2511.09515 • Published • 17
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NousResearch/Hermes-4-70B-FP8
Text Generation • 71B • Updated • 300 • 25 -
NousResearch/Hermes-4-405B-FP8
Text Generation • 406B • Updated • 1.04k • 21 -
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Paper • 2508.21365 • Published • 29 -
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Paper • 2509.15566 • Published • 14
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UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
Paper • 2410.14059 • Published • 62 -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 96 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 53
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Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Paper • 2509.22601 • Published • 29 -
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
Paper • 2509.25849 • Published • 47 -
GEM: A Gym for Agentic LLMs
Paper • 2510.01051 • Published • 89 -
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
Paper • 2510.04996 • Published • 15
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WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40 -
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Paper • 2509.05263 • Published • 10 -
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Paper • 2510.00406 • Published • 65 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 47
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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
-
Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 29 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49
-
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 239 -
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
Paper • 2510.01623 • Published • 10 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Paper • 2511.09515 • Published • 17
-
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Paper • 2509.22601 • Published • 29 -
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
Paper • 2509.25849 • Published • 47 -
GEM: A Gym for Agentic LLMs
Paper • 2510.01051 • Published • 89 -
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
Paper • 2510.04996 • Published • 15
-
NousResearch/Hermes-4-70B-FP8
Text Generation • 71B • Updated • 300 • 25 -
NousResearch/Hermes-4-405B-FP8
Text Generation • 406B • Updated • 1.04k • 21 -
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Paper • 2508.21365 • Published • 29 -
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Paper • 2509.15566 • Published • 14
-
WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40 -
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Paper • 2509.05263 • Published • 10 -
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Paper • 2510.00406 • Published • 65 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 47
-
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
Paper • 2410.14059 • Published • 62 -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 96 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 53
-
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