Excited to share our #UIST2022 paper introducing FeedLens, a novel system that repurposes people’s research paper feeds on Semantic Scholar as lenses. Without any additional training, these lenses show relevance for all types of related entities, like authors and institutions. 🧵 Say you have 2 research paper feeds on the topics Interpretability and Mental Models. Using FeedLens, you can view the entities in any content list on Semantic Scholar (e.g., papers and authors in search results or author homepages) based on their relevance to your research feeds