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Search, ingest, and query academic papers with arXiv and Semantic Scholar.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Paper Research Helper" yet — see the docs or source repo.
Please search for recent papers on "retrieval-augmented generation for academic question answering," prioritizing widely cited or discussed results from arXiv and Semantic Scholar, and provide titles, authors, and short summaries.
A list of relevant papers with basic metadata and brief summaries for initial screening.
I have already ingested several papers on graph neural networks. Please answer in natural language: what problems do these papers mainly address, and what methods does each one use?
A comparative natural-language answer summarizing research problems and methodological differences across the ingested papers.
Help me find papers with "chain of thought" in the title that relate to LLM reasoning, and label whether each result comes from arXiv or Semantic Scholar.
A list of matching papers with their corresponding source clearly labeled.
Researchers or students can use natural-language search to build an initial reading list when entering a new topic. With arXiv and Semantic Scholar integration, it helps locate publicly available paper sources faster.
After a user ingests a set of papers, they can ask natural-language questions to quickly understand the problems, methods, or findings discussed across them. This is useful for pre-reading overviews or meeting preparation.
When users need to search papers across multiple academic sources, this tool can provide a unified search and comparison workflow. It reduces time spent switching between platforms.
It is used to search, ingest, and query academic papers with natural language. It is known to integrate with arXiv and Semantic Scholar.
The provided information explicitly mentions arXiv and Semantic Scholar. For any additional sources, see the source repository.
The current material does not provide installation steps or state whether API keys or a specific runtime are required. For exact prerequisites, see the source repository.
Search academic papers, analyze citations, and uncover related scientific work.
Search Semantic Scholar for paper metadata, citations, and author details.
Search papers across major databases, read arXiv full text, and OCR math to LaTeX.
Search Semantic Scholar papers and download PDFs for faster literature research.
Search ArXiv papers, inspect details, track categories, and explore author networks.
Search, retrieve, and analyze scholarly papers via the Semantic Scholar graph.