AI Academic Paper Drafting

Who could benefit most from Data2Paper?

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Data2Paper uses a mix of frontier large language models, primarily from OpenAI and Anthropic. We route different tasks to different models depending on what works best — for example, methods sections and discussion sections benefit from different reasoning strengths. We don't lock to a single model version because the field moves fast and we want users getting the best available output, not whatever was state of the art a year ago.

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What are some unique features of datatopaper.com?

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Data2Paper runs on a stack of frontier large language models combined with custom academic-writing logic layered on top. The model selection is updated as new versions are released, so users always get the current best output without needing to think about which model is doing what.

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What model of AI does Data2Paper use?

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The underlying language models are frontier-class (the same general family as GPT-4 and Claude), but the real work happens in how we structure the prompts, the section-specific data intake, and the post-processing. Two papers asking the same model the same question will get different output depending on how the question is framed, and that framing is what we've spent the most time on.