LLM use is acknowledged almost as often as specialized AI tools in biology preprints
17% of biology preprints acknowledge LLM use, nearly matching specialized tools like AlphaFold. Epoch AI analyzes trends in AI acknowledgment in research.
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Biology researchers are increasingly acknowledging their use of large language models in preprints, with acknowledgments growing from about 1% at the start of 2026 to 4% by September. This rapid adoption nearly matches the acknowledgment rate for specialized AI tools designed for biology research, which stands at 19% compared to 17% for LLMs. Researchers use LLMs for varied purposes including literature review, writing, and coding assistance, while specialized tools focus on specific tasks like protein structure prediction and genomics analysis. The data comes from analyzing bioRxiv preprints from January 2020 through September 2026 to track how different types of AI tools are being integrated into biological research.
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