Cover Image

Meta Context Engineering via Agentic Skill Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Haoran, He, Xuning, Arak, Vincent, Dong, Haonan, Song, Guojie
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
by: Ye, Haoran, et al.
Published: (2024)

MetaDE: Evolving Differential Evolution by Differential Evolution
by: Chen, Minyang, et al.
Published: (2025)

GEAR: Genetic AutoResearch for Agentic Code Evolution
by: Jeddi, Ahmadreza, et al.
Published: (2026)

Evolution Transformer: In-Context Evolutionary Optimization
by: Lange, Robert Tjarko, et al.
Published: (2024)

Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery
by: van Stein, Niki, et al.
Published: (2025)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
by: Qi, Biqing, et al.
Published: (2024)

AgenticRed: Evolving Agentic Systems for Red-Teaming
by: Yuan, Jiayi, et al.
Published: (2026)

JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)

Evolution of Optimization Algorithms for Global Placement via Large Language Models
by: Yao, Xufeng, et al.
Published: (2025)

Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
by: Bossens, David M., et al.
Published: (2021)

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
by: Lv, Haoze, et al.
Published: (2026)

BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)

Improving Planning with Large Language Models: A Modular Agentic Architecture
by: Webb, Taylor, et al.
Published: (2023)

Lifelong Evolution of Swarms
by: Leuzzi, Lorenzo, et al.
Published: (2025)

General-Purpose In-Context Learning by Meta-Learning Transformers
by: Kirsch, Louis, et al.
Published: (2022)

Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
by: He, Yifan, et al.
Published: (2024)

Meta knowledge assisted Evolutionary Neural Architecture Search
by: Li, Yangyang, et al.
Published: (2025)

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search
by: Xu, Boxun, et al.
Published: (2024)

Energy Costs and Neural Complexity Evolution in Changing Environments
by: Heesom-Green, Sian, et al.
Published: (2025)

Agent Skill Acquisition for Large Language Models via CycleQD
by: Kuroki, So, et al.
Published: (2024)

Reinforced In-Context Black-Box Optimization
by: Song, Lei, et al.
Published: (2024)

Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
by: Winter, Benjamin David, et al.
Published: (2025)

Guiding Evolution of Artificial Life Using Vision-Language Models
by: Baid, Nikhil, et al.
Published: (2025)

Evolution of Rewards for Food and Motor Action by Simulating Birth and Death
by: Kanagawa, Yuji, et al.
Published: (2024)

Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding
by: Krishnamohan, Theviyanthan, et al.
Published: (2025)

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
by: van Stein, Niki, et al.
Published: (2025)

TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution
by: Yang, Yang, et al.
Published: (2026)

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
by: Kumar, Akarsh, et al.
Published: (2026)

Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
by: O'Connor, Jim, et al.
Published: (2025)

REvolve: Reward Evolution with Large Language Models using Human Feedback
by: Hazra, Rishi, et al.
Published: (2024)

Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives
by: Chauhan, Dikshit, et al.
Published: (2025)

DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
by: Wu, Kai, et al.
Published: (2023)

LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
by: Zhang, Hengzhe, et al.
Published: (2025)

Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
by: Morgan, Brandon, et al.
Published: (2024)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
by: van Stein, Niki, et al.
Published: (2025)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

RDEx-CSOP: Feasibility-Aware Reconstructed Differential Evolution with Adaptive epsilon-Constraint Ranking
by: Tao, Sichen, et al.
Published: (2026)

RDEx-MOP: Indicator-Guided Reconstructed Differential Evolution for Fixed-Budget Multiobjective Optimization
by: Tao, Sichen, et al.
Published: (2026)

Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
by: Guan, Jian, et al.
Published: (2026)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
by: Yang, Xu, et al.
Published: (2025)