-
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
Collections
Discover the best community collections!
Collections including paper arxiv:2511.18423
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper • 2506.14234 • Published • 41 -
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Paper • 2504.19413 • Published • 38 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
-
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 128 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 127 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 67
-
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 134 -
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 18 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Paper • 2510.04618 • Published • 128
-
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 108 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
Paper • 2511.19900 • Published • 48 -
MobiAgent: A Systematic Framework for Customizable Mobile Agents
Paper • 2509.00531 • Published • 7
-
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
-
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper • 2506.14234 • Published • 41 -
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Paper • 2504.19413 • Published • 38 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 128 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 127 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 67
-
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 134 -
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 18 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Paper • 2510.04618 • Published • 128
-
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 108 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
Paper • 2511.19900 • Published • 48 -
MobiAgent: A Systematic Framework for Customizable Mobile Agents
Paper • 2509.00531 • Published • 7