Collection by 
Feb 26
Collections
Discover the best community collections!
Collections including paper arxiv:2501.04227
Collection by 
Dec 7, 2025
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AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162 -
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
Paper • 2512.04324 • Published • 159 -
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 • 77
Collection by 
Jun 23, 2025
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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 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57
Collection by 
Jun 7, 2025
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Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 120 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 113 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 146
Collection by 
Feb 8, 2025
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 104 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95
Collection by 
Sep 19, 2025
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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 211 -
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 • 77
Collection by 
Jul 19, 2025
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The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Paper • 2504.08066 • Published • 22 -
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Paper • 2504.19678 • Published • 3 -
AIGS: Generating Science from AI-Powered Automated Falsification
Paper • 2411.11910 • Published -
AgentRxiv: Towards Collaborative Autonomous Research
Paper • 2503.18102 • Published • 25
Collection by 
Apr 27, 2025
Collection by 
May 14, 2025
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Visual-RFT: Visual Reinforcement Fine-Tuning
Paper • 2503.01785 • Published • 86 -
When an LLM is apprehensive about its answers -- and when its uncertainty is justified
Paper • 2503.01688 • Published • 22 -
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Paper • 2503.00808 • Published • 57 -
Chain of Draft: Thinking Faster by Writing Less
Paper • 2502.18600 • Published • 50
Collection by 
Jan 26, 2025
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Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
Paper • 2501.10799 • Published • 15 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95
Collection by Feb 26
Collection by Sep 19, 2025
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 211 -
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 • 77
Collection by Dec 7, 2025
-
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162 -
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
Paper • 2512.04324 • Published • 159 -
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 • 77
Collection by Jul 19, 2025
-
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Paper • 2504.08066 • Published • 22 -
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Paper • 2504.19678 • Published • 3 -
AIGS: Generating Science from AI-Powered Automated Falsification
Paper • 2411.11910 • Published -
AgentRxiv: Towards Collaborative Autonomous Research
Paper • 2503.18102 • Published • 25
Collection by Jun 23, 2025
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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 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57
Collection by Apr 27, 2025
Collection by Jun 7, 2025
-
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 120 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 113 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 146
Collection by May 14, 2025
-
Visual-RFT: Visual Reinforcement Fine-Tuning
Paper • 2503.01785 • Published • 86 -
When an LLM is apprehensive about its answers -- and when its uncertainty is justified
Paper • 2503.01688 • Published • 22 -
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Paper • 2503.00808 • Published • 57 -
Chain of Draft: Thinking Faster by Writing Less
Paper • 2502.18600 • Published • 50
Collection by Feb 8, 2025
-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 104 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95
Collection by Jan 26, 2025
-
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
Paper • 2501.10799 • Published • 15 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95