Prompt Repetition Improves Non-Reasoning LLMs

Howdy folks. I was inspired by the really neat "Jev in 25 lines of Python" post a few days ago (and System One models in general), and after playing with the idea I tried whipping up something a little more complex, and Lichen is what popped out…

jeff_ciesielskiSep 30, 2026View on HNParent context

Prompt Repetition Improves Non-Reasoning LLMs: https://arxiv.org/abs/2512.14982

stellaloSep 23, 2026View on HNParent context

Really interesting paper, thanks for the share. The point their making in that paper reminds me of this paper some people shared around work earlier this year, https://arxiv.org/pdf/2512.14982 (Prompt Repetition Improves Non-Reasoning LLMs)... I wonder how OPs question would…

hastegJul 6, 2026View on HNParent context

There's an ancient paper that shows repetition improves non-reasoning weights: https://arxiv.org/html/2512.14982v1

0xbadcafebeeMar 31, 2026View on HNParent context

Actually not surprised. I guess this is for the same reason “say it twice” [1] is working. Because LLm are trained as causal language model, past token cannot attend to future token. One copy of the layer set solve this. [1]https://arxiv.org/html/2512.14982v1

skydeMar 24, 2026View on HNParent context

"Prompt Repetition Improves Non-Reasoning LLMs " - https://arxiv.org/pdf/2512.14982 What instance of ChatGPT are you doing that with? (Reasoning?)

ar0bMar 12, 2026View on HNParent context

Interestingly, when I apply the "simply repeat the prompt" technique [1], Sonnet 4.6 on the website got it right every time, both with and without extended thinking. Not repeating the prompt got a mix of walk and drive answers. I love how prompt engineering is basically…

sReinwaldFeb 24, 2026View on HNParent context