A practical three-step program to improve the quality of AI paper generation
When generating a paper using AI-Scientist-v2, the quality of the output can be ensured by the following methods:
- Model Selection Optimization: in
--model_writeupThe most suitable model is selected from the parameters, e.g., Claude 3.5 Sonnet or GPT-4o is recommended for scientific writing, and different model characteristics can be obtained through thellm.pyFile View. - Literature support enhancement: Enable the Semantic Scholar API (
export S2_API_KEY), the system will automatically find relevant literature and cite it to ensure novelty and credibility. - Automation of format checking: Installation
chktexAfter the tool, the system will detect LaTeX file format problems; at the same time, you can configure the--add_dataset_refparameter ensures that data references are normalized.
Key operation tips: after the first draft of the paper is generated, it is recommended to manually touch up the paper, focusing on the description of the methodology and the conclusion part; multiple generation and comparison of the results of different models can obtain the optimal version.
This answer comes from the articleAI-Scientist-v2: Autonomous completion of scientific research and paper writingThe
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