Collections
Discover the best community collections!
Collections including paper arxiv:2606.24937
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Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Paper • 2606.02373 • Published • 60 -
SIA: Self Improving AI with Harness & Weight Updates
Paper • 2605.27276 • Published • 16 -
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Paper • 2606.06036 • Published • 75 -
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Paper • 2606.14249 • Published • 50
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Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 26 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 71 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 91 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 112
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AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 4 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 198
-
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Paper • 2606.02373 • Published • 60 -
SIA: Self Improving AI with Harness & Weight Updates
Paper • 2605.27276 • Published • 16 -
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Paper • 2606.06036 • Published • 75 -
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Paper • 2606.14249 • Published • 50
-
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 26 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 71 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 91 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 112
-
AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
Paper • 2602.17100 • Published • 4 -
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant
Paper • 2603.01059 • Published • 1 -
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Paper • 2603.00618 • Published -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 198