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Existing multimodal systems falter in repository-level localization, with the best performance still falling short of reliable accuracy thresholds.
LLMs are unreliable ranking engines on their own, but fusing them with graph-grounded IRL creates a recommender system that's more than the sum of its parts, boosting NDCG@10 by up to 16.8%.
