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 2: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer keeps part 2 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 2026-05-18

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
  • Multilingual Encoder Alone Does Not Improve MOOC-CS Recall (Hierarchical R@10 = 22.3 vs 23.1)

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

  • MOOC-CS Error Taxonomy: Residual Failures Dominated by Distant Misses and Bilingual Aliasing

  • Language-Matched Seeding as a Prerequisite for Graph-Expansion Gains

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