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Collections including paper arxiv:2604.04804

Demystifying Agent Skills: Why They Work-Until They Don't

Paper • 2608.14036 • Published Aug 14 • 80
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents

Paper • 2608.15008 • Published Aug 15 • 15
Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents

Paper • 2607.13157 • Published Jul 14
SelfMem: Self-Optimizing Memory for AI Agents

Paper • 2607.03726 • Published Jul 4

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

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Paper • 2604.08377 • Published Apr 9 • 225
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Paper • 2604.04323 • Published Apr 6 • 38
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29

XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Paper • 2603.12056 • Published Jul 1 • 34
Memento-Skills: Let Agents Design Agents

Paper • 2603.18743 • Published Mar 19 • 59
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Paper • 2603.15401 • Published Mar 16 • 21
Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 108
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 46

AI System Engineering

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29
Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

Paper • 2604.14228 • Published Apr 14 • 24
OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

Paper • 2604.15093 • Published Apr 16 • 30

Self-Evolving Agents

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29
XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Paper • 2603.12056 • Published Jul 1 • 34
AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive Agents

Paper • 2603.09716 • Published Mar 10 • 1
SkillOS: Learning Skill Curation for Self-Evolving Agents

Paper • 2605.06614 • Published May 7 • 45

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

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 383 • 103
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 41
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

Demystifying Agent Skills: Why They Work-Until They Don't

Paper • 2608.14036 • Published Aug 14 • 80
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents

Paper • 2608.15008 • Published Aug 15 • 15
Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents

Paper • 2607.13157 • Published Jul 14
SelfMem: Self-Optimizing Memory for AI Agents

Paper • 2607.03726 • Published Jul 4

AI System Engineering

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29
Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

Paper • 2604.14228 • Published Apr 14 • 24
OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

Paper • 2604.15093 • Published Apr 16 • 30

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

Self-Evolving Agents

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29
XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Paper • 2603.12056 • Published Jul 1 • 34
AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive Agents

Paper • 2603.09716 • Published Mar 10 • 1
SkillOS: Learning Skill Curation for Self-Evolving Agents

Paper • 2605.06614 • Published May 7 • 45

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Paper • 2604.08377 • Published Apr 9 • 225
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Paper • 2604.04323 • Published Apr 6 • 38
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29

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

XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Paper • 2603.12056 • Published Jul 1 • 34
Memento-Skills: Let Agents Design Agents

Paper • 2603.18743 • Published Mar 19 • 59
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Paper • 2603.15401 • Published Mar 16 • 21
Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 383 • 103
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 41
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 108
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 46

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