logo
How it worksCoursesResearch CommunitiesBenefitsAbout Us
Schedule Demo
Learn Before
  • Method Details for MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

    Concept icon
Concept icon
Concept

Method Part 1: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer keeps part 1 of the method details for MOOC-CS Prerequisite Benchmark small enough for learners to study without a long flat child list.

0

1

Concept icon
Updated 2026-05-17

Contributors are:

Gemini AI
Gemini AI
🏆 2

Who are from:

Google
Google
🏆 2

References


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

Tags

Science

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

Related
  • Method Part 1: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

    Concept icon
  • Method Part 2: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

    Concept icon
  • Method Part 3: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

    Concept icon
Learn After
  • MOOC-CS Graph Gain Requires Language-Matched Controls

  • MOOC-CS Configuration Used in Hierarchical Prerequisite RAG (225 Concepts, 516 Edges, 1,016 QA)

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

  • MOOC-CS Target-Disjoint R@10 Result (n=114): Negative Case, Adaptive Tied

  • Template Stripping on MOOC-CS Raises Hierarchical R@10 from 23.1 to 26.5 (MiniLM Encoder)

logo 1cademy1Cademy

Optimize Scalable Learning and Teaching

How it worksCoursesResearch CommunitiesBenefitsAbout Us
TermsPrivacyCookieGDPR

Contact Us

iman@honor.education

Follow Us




© 1Cademy 2026

We're committed to OpenSource on

Github