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Collections including paper arxiv:2504.13805

LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark

Paper • 2504.13805 • Published Apr 18 • 11
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models

Paper • 2503.16734 • Published Mar 20 • 1
LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects

Paper • 2504.19838 • Published Apr 28 • 22

GUI Agent相关论文方案简要分析

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration

Paper • 2502.17110 • Published Feb 24 • 13
WebGames: Challenging General-Purpose Web-Browsing AI Agents

Paper • 2502.18356 • Published Feb 25 • 14
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model

Paper • 2502.18906 • Published Feb 26 • 12
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Paper • 2503.02268 • Published Mar 4 • 11

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 15
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark

Paper • 2504.13805 • Published Apr 18 • 11
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models

Paper • 2503.16734 • Published Mar 20 • 1
LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects

Paper • 2504.19838 • Published Apr 28 • 22

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

GUI Agent相关论文方案简要分析

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration

Paper • 2502.17110 • Published Feb 24 • 13
WebGames: Challenging General-Purpose Web-Browsing AI Agents

Paper • 2502.18356 • Published Feb 25 • 14
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model

Paper • 2502.18906 • Published Feb 26 • 12
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Paper • 2503.02268 • Published Mar 4 • 11

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 15
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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