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    Pangram repeats text so earlier passages can use later context, a user says

    A paper linked by the user reports that repeating prompts improves performance for Gemini, GPT, Claude and Deepseek when they aren't using reasoning, without increasing generated tokens or latency.

    CL
    1 Source, 24d ago, first seen 24d ago

    TLDR

    A user highlights a trick they say Pangram uses: repeating text so the early parts of the second copy can draw on the later parts of the first. They link to the model card for Pangram 4, which Pangram describes as an AI detection model, alongside a paper on arXiv. The paper reports that prompt repetition improves performance for Gemini, GPT, Claude and Deepseek when not using reasoning, without increasing generated tokens or latency.

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    1 Source, first seen 24d ago

    Combined views

    26.2K

    1 Source, first seen 24d ago

    495 likes
    495 likes
    4 comments
    315 saves
    15 reposts

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    4 comments
    315 saves
    15 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @_chenglouOh hey Pangram uses that fun trick where they repeat the text twice so that the early parts (of the second copy) can attend to the later part (of the first copy) The LLMs yearn for text diffusion techniques! https://arxiv.org/abs/2512.14982 https://www.pangram.com/research/model-card/pangram-4

    1 Source

    @_chenglouOh hey Pangram uses that fun trick where they repeat the text twice so that the early parts (of the second copy) can attend to the later part (of the first copy) The LLMs yearn for text diffusion techniques! https://arxiv.org/abs/2512.14982 https://www.pangram.com/research/model-card/pangram-4