Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search

arXiv:2608.27266 · cs.AI, cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/noamgat/lm-format-enforcer

Terminology

• GRPO — 54× in this paper · explained in 6 episodes
• Naive Prompt Optimization — 9× in this paper
• Trace — 8× in this paper · explained in 2 episodes
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Group Relative Policy Optimization — 2× in this paper
• Group Relative Policy Optimization (GRPO) — 2× in this paper · explained in 5 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Nadia — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• TextArena
• AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Qwen3 Technical Report
• Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning
• Composing Policy Gradients and Prompt Optimization for Language Model Programs

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