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Scientific writing involves retrieving, summarizing, and citing relevantpapers, which can be time-consuming processes in large and rapidly evolvingfields. By making these processes inter-operable, natural language processing(NLP) provides opportunities for creating end-to-end assistive writing tools.We propose SciLit, a pipeline that automatically recommends relevant papers,extracts highlights, and suggests a reference sentence as a citation of apaper, taking into consideration the user-provided context and keywords. SciLitefficiently recommends papers from large databases of hundreds of millions ofpapers using a two-stage pre-fetching and re-ranking literature search systemthat flexibly deals with addition and removal of a paper database. We provide aconvenient user interface that displays the recommended papers as extractivesummaries and that offers abstractively-generated citing sentences which arealigned with the provided context and which mention the chosen keyword(s). Ourassistive tool for literature discovery and scientific writing is available athttps://scilit.vercel.app

SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation