DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting retrieval costs 30% on complex tasks.

Frontier AI models corrupt 25% of document content in multi-step workflows — rewriting rather than deleting, which makes the errors far harder to catch.

A long-running cyber-espionage group known as Confucius has introduced new techniques in its campaigns against Microsoft Windows users. First identified in 2013, the group has consistently targeted ...

Add a description, image, and links to the document-similarity topic page so that developers can more easily learn about it.

├── app.py ├── data │ ├── 20news-bydate-test │ ├── 20news-bydate-test2 │ └── 20news-bydate-train ├── Docsim.py ├── document_similarity_finder.py ├── evaluate.py ├── init.py ├── models/ ├── Readme.md ...

Abstract: Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarity computed ...

Extensive evaluations on large document datasets show that SDR significantly outperforms its alternatives across all metrics. To accelerate future research on unlabeled long document similarity ...

Abstract: Document similarity identification is one of the most significant problems of knowledge discovery and information retrieval. One way to perform these similarity measures is to analyze a ...

ABSTRACT: Text summarization is the process of automatically creating a compressed version of a given document preserving its information content. There are two types of summarization: extractive and ...