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Summaries

RAPTOR: a tree of summaries for querying large document collections

Conceptual illustration of documents arranged in groups and summary cards on a worktable

AI-generated conceptual cover. It evokes a document collection and its summaries; it does not represent the method’s architecture or experimental results.

Lately, I had been wondering how much code was being generated with AI worldwide and how many programmers still wrote everything by hand. Investigating those questions would mean looking in many places: surveys, studies of GitHub repositories, Stack Overflow posts, and company reports. Each source might contribute part of the story, but we would need to check what it actually measures and which conclusions we can draw from it.