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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 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

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 • 1
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 62

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 • 62
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 • 85
Reinforcement World Model Learning for LLM-based Agents

Paper • 2602.05842 • Published Feb 5 • 27
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 • 62

STEP3-VL-10B Technical Report

Paper • 2601.09668 • Published Jan 14 • 195
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 • 74

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 152
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 153
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 118

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 144
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 • 70
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 62

about 1 month ago

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 203
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 304
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290

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

Paper • 2602.02474 • Published Feb 2 • 62

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models

Paper • 2511.11007 • Published Nov 14, 2025 • 15
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

Paper • 2511.13593 • Published Nov 17, 2025 • 28
General Agentic Memory Via Deep Research

Paper • 2511.18423 • Published Nov 23, 2025 • 170
MemEvolve: Meta-Evolution of Agent Memory Systems

Paper • 2512.18746 • Published Dec 21, 2025 • 31

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 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
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 • 152
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 153
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 118

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 • 1
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 62

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 144
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 • 70
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 62

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 • 62
XaiverZ/MemSkill

Updated Mar 3

about 1 month ago

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 203
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 304
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290

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

Paper • 2601.22027 • Published Jan 29 • 85
Reinforcement World Model Learning for LLM-based Agents

Paper • 2602.05842 • Published Feb 5 • 27
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 • 62

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

Paper • 2602.02474 • Published Feb 2 • 62

STEP3-VL-10B Technical Report

Paper • 2601.09668 • Published Jan 14 • 195
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 • 74

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models

Paper • 2511.11007 • Published Nov 14, 2025 • 15
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

Paper • 2511.13593 • Published Nov 17, 2025 • 28
General Agentic Memory Via Deep Research

Paper • 2511.18423 • Published Nov 23, 2025 • 170
MemEvolve: Meta-Evolution of Agent Memory Systems

Paper • 2512.18746 • Published Dec 21, 2025 • 31

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