Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images
@article{ye2026rewardguided,
title = {Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs},
author = {Ziyu Ye and Rishabh Agarwal and Tianqi Liu and Rishabh Joshi and Sarmishta Velury and Quoc V. Le and Qijun Tan and Yuan Liu},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:3eefc196a35195e6da9f1dcd5a77508d7c60523c},
journal = {ICML 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/3eefc196a35195e6da9f1dcd5a77508d7c60523c)