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Collections including paper arxiv:2602.02474

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 86
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 156
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 154
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 150
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 155
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 221
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning

Paper • 2602.07845 • Published Feb 8 • 71
LLaDA2.1: Speeding Up Text Diffusion via Token Editing

Paper • 2602.08676 • Published Feb 9 • 71
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 208
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 307
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 256
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 182

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills

Paper • 2605.24117 • Published May 22 • 19
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

Paper • 2605.27366 • Published May 26 • 28
SkillGrad: Optimizing Agent Skills Like Gradient Descent

Paper • 2605.27760 • Published May 26 • 25
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

Paper • 2605.28424 • Published May 27 • 27

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

Paper • 2310.04945 • Published Oct 7, 2023 • 1
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Paper • 2307.14430 • Published Jul 26, 2023 • 3
SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Paper • 2602.20867 • Published Feb 24 • 2
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63
XaiverZ/MemSkill

Updated Mar 3

CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty

Paper • 2601.22027 • Published Jan 29 • 86
Reinforcement World Model Learning for LLM-based Agents

Paper • 2602.05842 • Published Feb 5 • 28
Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention

Paper • 2602.03338 • Published Feb 3 • 26
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

STEP3-VL-10B Technical Report

Paper • 2601.09668 • Published Jan 14 • 196
Advancing Open-source World Models

Paper • 2601.20540 • Published Jan 28 • 135
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization

Paper • 2512.24615 • Published Dec 31, 2025 • 119
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Paper • 2602.08234 • Published Feb 9 • 75

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 86
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 156
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills

Paper • 2605.24117 • Published May 22 • 19
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

Paper • 2605.27366 • Published May 26 • 28
SkillGrad: Optimizing Agent Skills Like Gradient Descent

Paper • 2605.27760 • Published May 26 • 25
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

Paper • 2605.28424 • Published May 27 • 27

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 154
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 150
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 155
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

Paper • 2310.04945 • Published Oct 7, 2023 • 1
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Paper • 2307.14430 • Published Jul 26, 2023 • 3
SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Paper • 2602.20867 • Published Feb 24 • 2
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 221
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning

Paper • 2602.07845 • Published Feb 8 • 71
LLaDA2.1: Speeding Up Text Diffusion via Token Editing

Paper • 2602.08676 • Published Feb 9 • 71
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63
XaiverZ/MemSkill

Updated Mar 3

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 208
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 307
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 256
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 182

CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty

Paper • 2601.22027 • Published Jan 29 • 86
Reinforcement World Model Learning for LLM-based Agents

Paper • 2602.05842 • Published Feb 5 • 28
Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention

Paper • 2602.03338 • Published Feb 3 • 26
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 63

STEP3-VL-10B Technical Report

Paper • 2601.09668 • Published Jan 14 • 196
Advancing Open-source World Models

Paper • 2601.20540 • Published Jan 28 • 135
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization

Paper • 2512.24615 • Published Dec 31, 2025 • 119
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Paper • 2602.08234 • Published Feb 9 • 75

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