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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 • 194
Collections
Discover the best community collections!
Collections including paper arxiv:2602.08222
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The Trinity of Consistency as a Defining Principle for General World Models
Paper • 2602.23152 • Published • 201 -
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
Paper • 2602.22859 • Published • 151 -
OmniGAIA: Towards Native Omni-Modal AI Agents
Paper • 2602.22897 • Published • 53 -
Imagination Helps Visual Reasoning, But Not Yet in Latent Space
Paper • 2602.22766 • Published • 44
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THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
Paper • 2601.23143 • Published • 39 -
PaperBanana: Automating Academic Illustration for AI Scientists
Paper • 2601.23265 • Published • 224 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204 -
BabyVision: Visual Reasoning Beyond Language
Paper • 2601.06521 • Published • 201
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GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 144 -
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning
Paper • 2602.07845 • Published • 71 -
LLaDA2.1: Speeding Up Text Diffusion via Token Editing
Paper • 2602.08676 • Published • 70 -
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Paper • 2602.02474 • Published • 62
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Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 304 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290
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Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290 -
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Paper • 2602.02338 • Published • 42 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204
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mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 322 -
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
Paper • 2512.23988 • Published • 19 -
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
Paper • 2512.25075 • Published • 15 -
Guiding a Diffusion Transformer with the Internal Dynamics of Itself
Paper • 2512.24176 • Published • 8
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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 • 194
-
GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 144 -
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning
Paper • 2602.07845 • Published • 71 -
LLaDA2.1: Speeding Up Text Diffusion via Token Editing
Paper • 2602.08676 • Published • 70 -
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Paper • 2602.02474 • Published • 62
-
The Trinity of Consistency as a Defining Principle for General World Models
Paper • 2602.23152 • Published • 201 -
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
Paper • 2602.22859 • Published • 151 -
OmniGAIA: Towards Native Omni-Modal AI Agents
Paper • 2602.22897 • Published • 53 -
Imagination Helps Visual Reasoning, But Not Yet in Latent Space
Paper • 2602.22766 • Published • 44
-
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 304 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290
-
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290 -
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Paper • 2602.02338 • Published • 42 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204
-
THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
Paper • 2601.23143 • Published • 39 -
PaperBanana: Automating Academic Illustration for AI Scientists
Paper • 2601.23265 • Published • 224 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204 -
BabyVision: Visual Reasoning Beyond Language
Paper • 2601.06521 • Published • 201
-
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 322 -
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
Paper • 2512.23988 • Published • 19 -
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
Paper • 2512.25075 • Published • 15 -
Guiding a Diffusion Transformer with the Internal Dynamics of Itself
Paper • 2512.24176 • Published • 8