Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
SciBERTgithub.com · Low evidenceSciBERT is a BERT model trained on 1.14 million scientific papers from Semantic Scholar, using a custom vocabulary called scivocab. It achieves state-of-the-art performance on a wide range of scientific natural language processing tasks.
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Sources
arxiv.org shapes more of what AI says about SciBERT than any other source, at 100% of its citations.