conf-papers

This Skill retrieves and ranks leading conference papers from events like CVPR and NeurIPS for a chosen year. It scores articles by relevance, citations, and quality to streamline your literature review workflow.

Yes, searching for CVPR 2024 computer vision papers returns a curated, ranked list of relevant articles. Results include links, summaries, and metadata to aid quick review and decision-making.

The best way to rank academic papers by relevance and citations is integrating data from DBLP and Semantic Scholar. This approach scores articles based on user-defined research interests, citation influence, and academic quality.

Yes, this paper search tool supports major AI conferences including NeurIPS, ICML, ICLR, and AAAI. It handles queries across these top-tier venues for any chosen year to optimize research relevance.

To generate a sorted list of high-impact research papers, input your target conference and year. The tool produces a ranked list with links, summaries, and metadata suitable for integration into Obsidian notes or research dashboards.

You should avoid an automated conference paper recommendation system when you need exhaustive coverage of all accepted submissions rather than a curated, ranked list. This tool specifically prioritizes leading, high-impact papers based on citations and relevance.