What Should the Reflector See? An Empirical Study of Evidence in Reflective Prompt Optimization

arXiv:2609.32452 · cs.CL, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Calibration — 56× in this paper · explained in 7 episodes
• Accuracy — 23× in this paper · explained in 1 episode
• Core — 19× in this paper · explained in 2 episodes
• Verification — 15× in this paper · explained in 2 episodes
• Commentary — 9× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Conservation Laws — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Multi-Agent System — 2× in this paper · explained in 6 episodes
• Structural Constraints — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• AlphaEvolve: A coding agent for scientific and algorithmic discovery
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• TextGrad: Automatic "Differentiation" via Text

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