1Cademy - Graph Effect on MOOC-CS Is Conditional on Dense Seed Pool Quality

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Dense Seed Pool with L2-Normalized all-MiniLM-L6-v2 Embeddings and Inner-Product Search
MOOC-CS: Language-Matched Controls (Results) in Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
Method Part 1: Multilingual Encoder + CJK Query Rewrite as a MOOC-CS Control (Auditable Strict-Parity Graph-RAG Paper)
Method Part 2: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

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Graph Effect on MOOC-CS Is Conditional on Dense Seed Pool Quality

On MOOC-CS ( $n = 103$ ), the paper concludes that the graph effect is conditional on the quality of the dense seed pool. Under MiniLM + English-template queries, the gap between flat-dense and hierarchical-baseline R@ $10$ is small ( $16.0 \to 23.1$ ). Under multilingual + CJK-only queries, the same fixed-depth hierarchical policy widens that gap to $49.2 \to 68.1$ , with adaptive close at $65.5$ . Because the graph policy is unchanged across rows, the much larger graph gain in the language-matched configuration is attributable to a better dense seed pool, not to a different traversal policy.

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Updated 2026-05-17

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Reference: Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls

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