SemChunk-C trains lightweight Ettin-based models to detect semantic chunk boundaries and assign functional categories in C-related code, matching larger LLMs on accuracy.
RANGER: Repository-level agent for graph-enhanced retrieval.arXiv preprint arXiv:2509.25257, 2025
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An empirical study finds that injecting call/inheritance topology as comments improves LLM code agent localization by 2.2pp, shortens trajectories by 1.6 rounds, and halves run-to-run variance on medium repositories via a deterministic anchoring effect.
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SemChunk-C: Semantic Segmentation for C Code
SemChunk-C trains lightweight Ettin-based models to detect semantic chunk boundaries and assign functional categories in C-related code, matching larger LLMs on accuracy.
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How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
An empirical study finds that injecting call/inheritance topology as comments improves LLM code agent localization by 2.2pp, shortens trajectories by 1.6 rounds, and halves run-to-run variance on medium repositories via a deterministic anchoring effect.