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Code Comprehensor: Hierarchical Documentation and Cross-Modal Retrieval for Large Repositories

Paper recorded by Signals 4 on 2026-10-21 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.LG · 机器学习 · first seen 2026-10-22

Abstract

Understanding large, complex, and rapidly evolving code bases remains a core challenge for software engineering at scale, hindering onboarding, maintenance, refactoring, and impact analysis. Providing this information to a Large-Language Model (LLM) is another hurdle, as the LLM must understand not only the required code method but also its associated methods in the grand scheme of the repository.

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#217 most recent of 749 cs.LG papers we have recorded · ↑ newer: ExGrad: Beyond Suppression - Explicit Clean-Gradient Subtraction in Ad · ↓ older: Agent Behavior Maps: Locating Agents by What They Would Do, Without Ru
Cite this page: Code Comprehensor: Hierarchical Documentation and Cross-Modal Retrieval for Large Repositories: the #217 most recent of 749 cs.LG papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/code-comprehensor-hierarchical-documentation-and-cross-modal-retrieval-for-large.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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