StraTune: Adaptive Selection of Revision Operators for Self-Evolving LLM Skills
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/seai-lab/StraTune
Terminology
Sources
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
- Are Online Skill and Memory Modules Always Worth Their Tokens? A Budget-Constrained Study of Web Agents
- LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches
- DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
- Algorithms for multi-armed bandit problems
- GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Agent Workflow Memory
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills
- TextGrad: Automatic "Differentiation" via Text
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
- Large Language Models Are Human-Level Prompt Engineers
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