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21 days ago
21 days agoCollections
Discover the best community collections!
Collections including paper arxiv:2508.03680
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15 days ago
15 days ago-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 262 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 115 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119
Collection by
Oct 12
Oct 12-
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 138 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119 -
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
Paper • 2508.14041 • Published • 59
Collection by
Oct 8
Oct 8Collection by
12 days ago
12 days ago-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119 -
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Paper • 2509.08494 • Published • 1 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 154 -
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 78
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22 days ago
22 days agoCollection by
17 days ago
17 days ago-
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 138 -
TTT3R: 3D Reconstruction as Test-Time Training
Paper • 2509.26645 • Published • 14 -
Human3R: Everyone Everywhere All at Once
Paper • 2510.06219 • Published • 9 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 482
Collection by
Oct 1
Oct 1-
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 31 -
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
Paper • 2509.21710 • Published • 18 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119
Collection by
Sep 19
Sep 19-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 190 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
Paper • 2507.06229 • Published • 75
Collection by
9 days ago
9 days ago-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 52 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 115 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119
Collection by
21 days ago
21 days agoCollection by
22 days ago
22 days agoCollection by
15 days ago
15 days ago-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 262 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 115 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119
Collection by
17 days ago
17 days ago-
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 138 -
TTT3R: 3D Reconstruction as Test-Time Training
Paper • 2509.26645 • Published • 14 -
Human3R: Everyone Everywhere All at Once
Paper • 2510.06219 • Published • 9 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 482
Collection by
Oct 12
Oct 12-
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 138 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119 -
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
Paper • 2508.14041 • Published • 59
Collection by
Oct 1
Oct 1-
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 31 -
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
Paper • 2509.21710 • Published • 18 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119
Collection by
Oct 8
Oct 8Collection by
Sep 19
Sep 19-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 190 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
Paper • 2507.06229 • Published • 75
Collection by
12 days ago
12 days ago-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119 -
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Paper • 2509.08494 • Published • 1 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 154 -
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 78
Collection by
9 days ago
9 days ago-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 52 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 115 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 119