Searcharxiv

Searcharxiv is a search and discovery platform for research papers indexed from arXiv, helping readers explore work across artificial intelligence, language models, computer vision, and robotics. Users can search indexed records by topic, review paper abstracts, and follow links to the original arXiv manuscripts for further details, methods, experiments, and version histories. The site highlights collections in artificial intelligence and machine learning, computational linguistics and language models, computer vision, and robotics, with subject coverage including arXiv categories cs.

AI, cs. CL, cs. CV, and cs.

RO. Search suggestions such as transformer architecture, image segmentation, and robot learning help visitors get started. Searcharxiv reports an index of more than 3.

2 million records and provides access to its imported paper records, alongside information about source coverage and methodology. Its search experience is designed to make scholarly material easier to find and navigate, connecting indexed records with their original sources. The displayed papers span a broad range of academic subjects, while the platform’s featured collections focus on AI-related research and robotics