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.