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Collections including paper arxiv:2501.12326
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MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 40 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 99 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 81 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 24
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1 day ago
1 day ago
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 45 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 71 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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13 days ago
13 days ago
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Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Paper • 2412.04454 • Published • 60 -
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
Paper • 2410.05243 • Published • 18 -
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Paper • 2501.12326 • Published • 48
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13 days ago
13 days ago
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MobA: A Two-Level Agent System for Efficient Mobile Task Automation
Paper • 2410.13757 • Published • 32 -
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Paper • 2410.08164 • Published • 24 -
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
Paper • 2408.15978 • Published -
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
Paper • 2409.17140 • Published