| Darwin godel machine: Open-ended evolution of self-improving agents | Zhang et al. | 2025 | open-ended self-improving evolution |
| Your agent may misevolve: Emergent risks in self-evolving llm agents | Shao et al. | 2025 | emergent risks in self-evolution |
| Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly? | Xia et al. | 2025 | on-the-fly SWE agent self-evolution |
| Agentic context engineering: Evolving contexts for self-improving language models | Zhang et al. | 2025 | evolving contexts for self-improvement |
| Gepa: Reflective prompt evolution can outperform reinforcement learning | Agrawal et al. | 2025 | reflective prompt evolution |
| Dynamic cheatsheet: Test-time learning with adaptive memory | Suzgun et al. | 2026 | test-time learning with adaptive memory |
| Adaptive self-improvement llm agentic system for ml library development | Zhang et al. | 2025 | self-improvement for ML library dev |
| AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization | Zhang et al. | 2025 | self-improving kernel optimization |
| Memento: Fine-tuning LLM Agents without Fine-tuning LLMs | Zhou et al. | 2025 | fine-tuning agents without LLM FT |
| Multi-agent evolve: Llm self-improve through co-evolution | Chen et al. | 2025 | LLM self-improve through co-evolution |
| Ragen: Understanding self-evolution in llm agents via multi-turn reinforcement learning | Wang et al. | 2025 | self-evolution via multi-turn RL |
| Evo-memory: Benchmarking llm agent test-time learning with self-evolving memory | Wei et al. | 2025 | benchmarking test-time self-evolving memory |
| WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model | Fang et al. | 2025 | co-evolving web world model |
| SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience | Sun et al. | 2025 | self-evolving computer use agent |
| Self-evolving multi-agent simulations for realistic clinical interactions | Almansoori et al. | 2025 | self-evolving clinical simulations |
| EvoAgent: Self-evolving Agent with Continual World Model for Long-Horizon Tasks | Feng et al. | 2025 | continual world model for long-horizon |
| Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data | Acikgoz et al. | 2026 | self-evolving tool learning from zero |
| EvoTool: Self-evolving tool-use policy optimization in llm agents via blame-aware mutation and diversity-aware selection | Yang et al. | 2026 | blame-aware tool-use optimization |
| AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution | Yang et al. | 2026 | experience-driven lifelong skill evolution |
| MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents | Zhang et al. | 2026 | learning and evolving memory skills |
| EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration | Guo et al. | 2026 | self-evolving multi-agent configuration |
| Over-Searching in Search-Augmented Large Language Models | Xie et al. | 2026 | over-searching in search-augmented LLMs |
