The paper reported jumps like 21% to 97%. My replication got +2%.
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TL;DR: I ran a small replication of the paper "Prompt Repetition Improves Non-Reasoning LLMs": 100 MMLU questions, one non-reasoning model, prompt sent once versus twice. Baseline 59%, repetition 61%. Probably not statistically significant, and that turned out to be the interesting part. The gap between the paper's headline numbers and my +2% taught me more about transformer attention than the trick itself. Why I tried this The claim sounds like a joke: paste your prompt twice and a…
1Key Takeaways
- TL;DR: I ran a small replication of the paper "Prompt Repetition Improves Non-Reasoning LLMs": 100 MMLU questions, one non-reasoning model, prompt sent once versus twice.
- Probably not statistically significant, and that turned out to be the interesting part.
- The gap between the paper's headline numbers and my +2% taught me more about transformer attention than the trick itself.
- Why I tried this The claim sounds like a joke: paste your prompt twice and a….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that tL;DR: I ran a small replication of the paper "Prompt Repetition Improves Non-Reasoning LLMs": 100 MMLU questions, one non-reasoning model, prompt sent once versus twice.
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