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A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).
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Prompt Repetition
Problem Being Solved
LLMs are trained as Causal Language Models, where each token attends only to previous tokens. This leads to:
- Context-Question Problem: The question is unknown when processing context
- Options-First MCQ Problem: Cannot fully understand the question context when viewing answer choices
- Position/Index Problem: Attention weights weaken for specific position information in long lists
Prompt repetition enables the second pa
[Description truncada. Veja o README completo no GitHub.]
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