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Search arXiv and major AI conference papers with related work context.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.arxivsub/arxivsub-mcp" MCP server from askskill: Run: claude mcp add 'io-github-arxivsub-arxivsub-mcp' -- npx -y arxivsub-mcp
Please search arXiv and major AI conference papers related to multimodal large models, and list titles and venues sorted by time.
A paper list for the topic, including key details such as title, venue, and date.
Starting from a target paper, find its related work and organize representative papers in nearby research directions.
A related-work map around the target paper with a list of representative studies.
Compare papers on the same topic across arXiv and major CV, NLP, and robotics conferences, and list the main sources.
An overview of paper results across sources to support further filtering and reading.
Researchers or students can use it at the start of a new topic to scan arXiv and major AI conference papers and quickly understand representative work. It is also useful for expanding related-work leads.
When you need to keep up with new papers in AI, ML, CV, NLP, or robotics, this tool can serve as a unified search entry point. It helps gather leads from multiple important sources.
If you already have a core paper, you can continue by finding its related work and expanding your reading set. This helps build the literature context around a research question more quickly.
It is used to search arXiv and major AI, ML, CV, NLP, and robotics conference papers, along with related work. It is suitable for literature search and research lead collection.
No. The description says it also covers major AI, ML, CV, NLP, and robotics conference papers. For the exact supported conferences, see the source repository.
The provided material does not include installation steps or whether API keys or other prerequisites are required. Please see the source repository for details.
Search, retrieve, and analyze academic papers from arXiv through AI assistants.
Search, extract, and analyze arXiv papers with citation network insights.
Search arXiv papers, retrieve full texts and citations, and generate structured reviews.
Search arXiv papers, fetch metadata, browse categories, and read full text.
Search arXiv papers, retrieve metadata, and access full PDFs.
Search ArXiv papers, inspect details, track categories, and explore author networks.