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Semantic Scholar, a scientific literature search engine, is using recent breakthroughs in natural-language processing to give researchers the tl;dr on papers.
The zero-shot performance concerning medical evidence summarization was evaluated using two models, GPT-3.5 and ChatGPT. Two experimental setups were designed to assess the models' capabilities.
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