Collection by 
11 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2606.29538
Collection by 
12 days ago
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SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Paper • 2605.23904 • Published • 264 -
SkillEvolver: Skill Learning as a Meta-Skill
Paper • 2605.10500 • Published • 3 -
SkillGen: Verified Inference-Time Agent Skill Synthesis
Paper • 2605.10999 • Published -
SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
Paper • 2605.09341 • Published
Collection by 
12 days ago
Collection by 
12 days ago
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NeuROK: Generative 4D Neural Object Kinematics
Paper • 2605.30347 • Published • 13 -
The Physical AI Inference Gap in Batch-1 LLM Decode
🪜1Interactive companion to the batch-1 LLM decode paper
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RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Paper • 2606.29538 • Published • 142
Collection by 
5 days ago
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Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 207 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 306 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290
Collection by 
11 days ago
Collection by 
12 days ago
Collection by 
3 days ago
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Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
Paper • 2607.02980 • Published • 83 -
Gemma 4 Technical Report
Paper • 2607.02770 • Published • 75 -
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Paper • 2607.03451 • Published • 34 -
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Paper • 2607.05804 • Published • 19
Collection by 
4 days ago
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Code as Agent Harness
Paper • 2605.18747 • Published • 225 -
SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
Paper • 2605.12500 • Published • 195 -
From Context to Skills: Can Language Models Learn from Context Skillfully?
Paper • 2604.27660 • Published • 171 -
PhysBrain 1.0 Technical Report
Paper • 2605.15298 • Published • 145
Collection by 
11 days ago
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Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 19 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 105 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 43
Collection by 11 days ago
Collection by 11 days ago
Collection by 12 days ago
-
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Paper • 2605.23904 • Published • 264 -
SkillEvolver: Skill Learning as a Meta-Skill
Paper • 2605.10500 • Published • 3 -
SkillGen: Verified Inference-Time Agent Skill Synthesis
Paper • 2605.10999 • Published -
SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
Paper • 2605.09341 • Published
Collection by 12 days ago
Collection by 12 days ago
Collection by 3 days ago
-
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
Paper • 2607.02980 • Published • 83 -
Gemma 4 Technical Report
Paper • 2607.02770 • Published • 75 -
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Paper • 2607.03451 • Published • 34 -
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Paper • 2607.05804 • Published • 19
Collection by 12 days ago
-
NeuROK: Generative 4D Neural Object Kinematics
Paper • 2605.30347 • Published • 13 -
The Physical AI Inference Gap in Batch-1 LLM Decode
🪜1Interactive companion to the batch-1 LLM decode paper
-
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Paper • 2606.29538 • Published • 142
Collection by 4 days ago
-
Code as Agent Harness
Paper • 2605.18747 • Published • 225 -
SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
Paper • 2605.12500 • Published • 195 -
From Context to Skills: Can Language Models Learn from Context Skillfully?
Paper • 2604.27660 • Published • 171 -
PhysBrain 1.0 Technical Report
Paper • 2605.15298 • Published • 145
Collection by 5 days ago
-
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 207 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 306 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290
Collection by 11 days ago
-
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 19 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 105 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 43