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Collections including paper arxiv:2512.23343
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Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
Paper • 2601.02439 • Published • 17
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Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 27 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
Paper • 2512.23273 • Published • 15 -
Scaling Open-Ended Reasoning to Predict the Future
Paper • 2512.25070 • Published • 20
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Mixture of Contexts for Long Video Generation
Paper • 2508.21058 • Published • 35 -
Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models
Paper • 2512.21337 • Published • 31 -
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
Paper • 2512.15374 • Published • 6 -
Fast-weight Product Key Memory
Paper • 2601.00671 • Published • 6
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Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
Paper • 2512.24885 • Published • 5 -
An Information Theoretic Perspective on Agentic System Design
Paper • 2512.21720 • Published • 8
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Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 152 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
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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
-
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
Paper • 2512.24885 • Published • 5 -
An Information Theoretic Perspective on Agentic System Design
Paper • 2512.21720 • Published • 8
-
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
Paper • 2601.02439 • Published • 17
-
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 152 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
-
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 27 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
Paper • 2512.23273 • Published • 15 -
Scaling Open-Ended Reasoning to Predict the Future
Paper • 2512.25070 • Published • 20
-
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
-
Mixture of Contexts for Long Video Generation
Paper • 2508.21058 • Published • 35 -
Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models
Paper • 2512.21337 • Published • 31 -
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
Paper • 2512.15374 • Published • 6 -
Fast-weight Product Key Memory
Paper • 2601.00671 • Published • 6