1Cademy - MOOC-CS Headline R@10 Numbers: LightRAG/Truncated-PPR 25.6-25.9 vs Adaptive/Hierarchical Tied at 23.1

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LightRAG-Style Baseline in Strict-Parity Prerequisite Retrieval
Truncated Personalized PageRank Baseline for Prerequisite Retrieval
Method Part 2: Adaptive Depth Gating for Prerequisite Retrieval (Auditable Strict-Parity Graph-RAG Paper)
MOOC-CS: Language Alignment Is The Bottleneck (Results) in Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
Method Part 1: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

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MOOC-CS Headline R@10 Numbers: LightRAG/Truncated-PPR 25.6-25.9 vs Adaptive/Hierarchical Tied at 23.1

On MOOC-CS under the paper's default English MiniLM strict-parity configuration, the headline retrieval table shows two clusters in R@ $10$ : LightRAG-style and truncated personalized PageRank baselines attain the best R@ $10$ in the range $25.6$ - $25.9$ , while Adaptive (heuristic) depth gating and the fixed-depth hierarchical baseline are tied at $23.1$ . The paper labels this as its second corrective point: under an English-only encoder, graph traversal-policy choices do not separate adaptive depth from the hierarchical baseline, and the better-performing systems are the LightRAG-style and PPR-style baselines rather than the paper's hierarchical traversal — which motivates the subsequent language-matched controls reported in the MOOC-CS cleaning-controls table.

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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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