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20242026
most citedEnhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

2 citations · 2 across the 3 of their papers we have counts for

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cs.AI2025

MAPGD: Multi-Agent Prompt Gradient Descent for Collaborative Prompt Optimization

Yichen Han, Yuhang Han, Siteng Huang +7

Prompt engineering is crucial for fully leveraging large language models (LLMs), yet most existing optimization methods follow a single trajectory, resulting in limited adaptabilit…