OpenScholar

A retrieval-augmented language model for synthesizing scientific literature.

CommonProductEducationScientific LiteratureRetrieval Augmentation

OpenScholar is a retrieval-augmented language model (LM) designed to assist scientists in effectively navigating and synthesizing scientific literature by first searching for relevant papers and then generating answers based on those sources. This model is significant for managing the millions of scientific papers published each year and helps scientists find the information they need or keep up with the latest discoveries in specific subfields.

? Retrieval enhancement: Answers questions by retrieving relevant scientific literature.
? Multi-paper tasks: Handles multiple papers to provide synthesized answers.
? Zero-shot learning: Supports inference in zero-shot learning scenarios.
? Feedback loops: Utilizes self-feedback loops during the generation process.
? Post-processing citation attribution: Attaches citation attribution after generation.
? Re-ranking model: Optimizes answer relevance using a re-ranking model.
? Semantic Scholar API: Integrates the Semantic Scholar API to enhance feedback results.
? Abstract usage: Considers abstracts to enhance re-ranking results.

\Target audience includes scientists
researchers
and users who require in-depth analysis and synthesis of large quantities of scientific literature. OpenScholar enhances research efficiency and depth by aiding users in quickly finding the necessary information through the retrieval and synthesis of relevant scientific documents.\

Researchers use OpenScholar to quickly find the latest research findings in specific fields.
Scientists leverage OpenScholar to synthesize multiple papers for writing review articles.
Academic institutions provide students with the latest academic resources and research updates through OpenScholar.

1. Ensure that all necessary libraries and environments are installed
such as Python 3.10.0 and the spacy model en_core_web_sm.
2. Set up the API key
for example
the Semantic Scholar API key.

Visit

OpenScholar Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

OpenScholar Visit Trend

OpenScholar Visit Geography

OpenScholar Traffic Sources

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