What is Explainpaper?
Explainpaper is an AI-powered reader for research papers, designed for researchers and anyone working through unfamiliar academic material. Upload a paper, highlight a confusing passage, and get a simpler explanation that takes the surrounding paper into account. You can also ask questions about the paper and explore its structure, findings, and arguments. Explanations can be adjusted from beginner to expert level and are available in more than 50 languages.
Explainpaper Features:
Highlighted Explanations: Select a confusing sentence or passage in a paper to get an AI-generated explanation in simpler language.
Adjustable Complexity: Choose an explanation level ranging from beginner to expert to suit your familiarity with the subject.
Multilingual Explanations: Get explanations in more than 50 languages, making it possible to read and clarify research in your preferred language.
Paper Questions: Ask questions about a paper and receive answers based on its content, with follow-up questions available to explore a topic further.
Section References: Use cited sections to jump to the parts of a paper relevant to an answer.
Generated Insights: View a paper outline, extracted key points, findings, main arguments, and relationships between concepts.
Explainpaper Benefits:
Faster First Reads: Clarifying dense passages as you read can reduce the time spent decoding jargon before you grasp a paper's main ideas.
Lower Entry Barrier: Beginner-level explanations can make unfamiliar research more approachable without requiring you to already know every term.
Focused Review: A generated outline and key points help you identify what matters before committing to a detailed reading.
More Targeted Answers: Answers tied to the paper's content help keep exploration grounded in the material instead of relying on general explanations.
Accessible Reading: Explanations in a preferred language can make complex material easier to follow for readers working across languages.
Use Cases:
Literature Review: Use the outline and extracted findings to screen papers and decide which ones need a closer reading.
New Research Fields: When entering an unfamiliar area such as machine learning, highlight unfamiliar concepts and work through them at a beginner level.
Paper Discussion: Ask follow-up questions about a paper to prepare for a research-group discussion or clarify points before presenting.
Technical Reading: Clarify dense sentences and specialist terminology while reviewing academic papers in your field.
Research Summaries: Generate an overview of a paper's findings and main arguments when you need to understand its contribution quickly.