Cover Image

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agrawal, Lakshya A, Tan, Shangyin, Soylu, Dilara, Ziems, Noah, Khare, Rishi, Opsahl-Ong, Krista, Singhvi, Arnav, Shandilya, Herumb, Ryan, Michael J, Jiang, Meng, Potts, Christopher, Sen, Koushik, Dimakis, Alexandros G., Stoica, Ion, Klein, Dan, Zaharia, Matei, Khattab, Omar
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning Software Engineering I.2.7; I.2.6; I.2.4; I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning, Fast and Slow: Towards LLMs That Adapt Continually
by: Tiwari, Rishabh, et al.
Published: (2026)

optimize_anything: A Universal API for Optimizing any Text Parameter
by: Agrawal, Lakshya A, et al.
Published: (2026)

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
by: Albiero, Daniel, et al.
Published: (2026)

An Explainable Collaborative Dialogue System using a Theory of Mind
by: Cohen, Philip R., et al.
Published: (2023)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

CLIP-Joint-Detect: End-to-End Joint Training of Object Detectors with Contrastive Vision-Language Supervision
by: Raoufi, Behnam, et al.
Published: (2025)

Deployment-Time Reliability of Learned Robot Policies
by: Agia, Christopher
Published: (2026)

Gyan: An Explainable Neuro-Symbolic Language Model
by: Srinivasan, Venkat, et al.
Published: (2026)

GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
by: Ghandi, Taraneh, et al.
Published: (2026)

elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings
by: Osborne, Philip, et al.
Published: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)

N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)

Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)

Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
by: Pareschi, Remo
Published: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
by: Clapham, John, et al.
Published: (2024)

Can AI Assist in Olympiad Coding
by: Ren, Samuel
Published: (2025)

Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
by: Shachar, Meir H., et al.
Published: (2025)

From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
by: Römer, Ralf, et al.
Published: (2025)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
by: Guo, Dongxin, et al.
Published: (2026)

Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
by: Marrakchi, Ghassen, et al.
Published: (2026)

OpenMap: Instruction Grounding via Open-Vocabulary Visual-Language Mapping
by: Li, Danyang, et al.
Published: (2025)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
by: Gu, Yingjie, et al.
Published: (2026)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents
by: Riva, Paolo, et al.
Published: (2026)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)

Taking Flight with Dialogue: Enabling Natural Language Control for PX4-based Drone Agent
by: Lim, Shoon Kit, et al.
Published: (2025)

Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
by: Hathaway, Jamie, et al.
Published: (2023)

StratXplore: Strategic Novelty-seeking and Instruction-aligned Exploration for Vision and Language Navigation
by: Gopinathan, Muraleekrishna, et al.
Published: (2024)

Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
by: Endo, Masafumi, et al.
Published: (2024)

CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning
by: Hu, Pan
Published: (2025)

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
by: Hathaway, Jamie, et al.
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
by: Cannizzaro, Ricardo, et al.
Published: (2024)

VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
by: Lee, Christine, et al.
Published: (2025)