Cover Image

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jianyu, Hu, Zhiqiang, Bing, Lidong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Machine Learning Neural and Evolutionary Computing Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization
by: Yuan, Jiaqi, et al.
Published: (2026)

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
by: Liu, Xingyu, et al.
Published: (2024)

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

SNN-Based Online Learning of Concepts and Action Laws in an Open World
by: Grimaud, Christel, et al.
Published: (2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
by: Munkhdalai, Tsendsuren, et al.
Published: (2024)

CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)

What's the Magic Word? A Control Theory of LLM Prompting
by: Bhargava, Aman, et al.
Published: (2023)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

Large Language Models and Emergence: A Complex Systems Perspective
by: Krakauer, David C., et al.
Published: (2025)

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

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
by: Mitsides, Konstantinos, et al.
Published: (2025)

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization
by: Tsakonas, Constantinos, et al.
Published: (2025)

Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
by: Delavari, Elahe, et al.
Published: (2025)

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
by: Bano, Iqra, et al.
Published: (2024)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
by: Bano, Iqra, et al.
Published: (2024)

Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)

Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
by: Flageat, Manon, et al.
Published: (2023)

Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
by: Bianco, Francesca, et al.
Published: (2024)

Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control
by: Delavari, Elahe, et al.
Published: (2024)

AI Olympics challenge with Evolutionary Soft Actor Critic
by: Calì, Marco, et al.
Published: (2024)

Neural Policy Style Transfer
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
by: Abouras, Mohamed, et al.
Published: (2026)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
by: Faldor, Maxence, et al.
Published: (2023)

Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
by: Sepúlveda, Carlos S., et al.
Published: (2026)

Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
by: Ruiz, Daniel C., et al.
Published: (2024)

ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
by: Shelar, Onkar, et al.
Published: (2025)

Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
by: Lee, Philip Heejun
Published: (2025)

Generating and Evolving Reward Functions for Highway Driving with Large Language Models
by: Han, Xu, et al.
Published: (2024)

Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
by: Schlender, Thalea, et al.
Published: (2026)

Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
by: Dobariya, Om, et al.
Published: (2025)

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control
by: Le, Nam H., et al.
Published: (2025)

W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)

GLU Attention Improve Transformer
by: Wang, Zehao
Published: (2025)

Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)

Evolving Reservoirs for Meta Reinforcement Learning
by: Léger, Corentin, et al.
Published: (2023)