Collection by 
Jan 5
Collections
Discover the best community collections!
Collections including paper arxiv:2511.13593
Collection by 
Mar 19
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MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
Paper • 2511.18373 • Published • 7 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 19 -
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
Paper • 2511.19418 • Published • 29 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 134
Collection by 
Feb 18
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AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 24 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 112 -
Scaling Generalist Data-Analytic Agents
Paper • 2509.25084 • Published • 20 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117
Collection by 
Jan 6
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SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 60 -
WideSearch: Benchmarking Agentic Broad Info-Seeking
Paper • 2508.07999 • Published • 112 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28
Collection by 
Nov 24, 2025
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Reinforcement Learning for Long-Horizon Interactive LLM Agents
Paper • 2502.01600 • Published • 1 -
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Paper • 2311.06318 • Published • 3 -
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Paper • 2502.12130 • Published • 3 -
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Paper • 2502.02584 • Published • 16
Collection by 
16 days ago
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VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
Paper • 2511.11007 • Published • 15 -
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
MemEvolve: Meta-Evolution of Agent Memory Systems
Paper • 2512.18746 • Published • 31
Collection by 
Jan 2
-
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 8 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 195
Collection by 
Mar 4
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 20 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by 
3 days ago
-
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 • 52 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166
Collection by 
Jan 12
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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
Collection by Jan 5
Collection by 16 days ago
-
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
Paper • 2511.11007 • Published • 15 -
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
MemEvolve: Meta-Evolution of Agent Memory Systems
Paper • 2512.18746 • Published • 31
Collection by Mar 19
-
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
Paper • 2511.18373 • Published • 7 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 19 -
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
Paper • 2511.19418 • Published • 29 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 134
Collection by Jan 2
-
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 8 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 195
Collection by Feb 18
-
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 24 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 112 -
Scaling Generalist Data-Analytic Agents
Paper • 2509.25084 • Published • 20 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117
Collection by Mar 4
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 20 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by Jan 6
-
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 60 -
WideSearch: Benchmarking Agentic Broad Info-Seeking
Paper • 2508.07999 • Published • 112 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 28
Collection by 3 days ago
-
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 • 52 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166
Collection by Nov 24, 2025
-
Reinforcement Learning for Long-Horizon Interactive LLM Agents
Paper • 2502.01600 • Published • 1 -
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Paper • 2311.06318 • Published • 3 -
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Paper • 2502.12130 • Published • 3 -
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Paper • 2502.02584 • Published • 16
Collection by Jan 12
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
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