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Empirical Research Report

Reference: What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

Reference: R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning

Reference: ojs.aaai.org

Reference: Prerequisite Relation Learning for Concepts in MOOCs

Reference: Course Prerequisite Relation (MOOC prerequisite dataset release page)

Reference: MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs

Reference: QASC: A Dataset for Question Answering via Sentence Composition

Reference: QASC: A Dataset for Question Answering via Sentence Composition (arXiv preprint)

Reference: ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference: ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference: arxiv.org

Reference: arxiv.org

Reference: Introduction to Information Retrieval

Reference: Evaluation measures (information retrieval)

Reference: REPLUG: Retrieval-Augmented Black-Box Language Models

Reference: arxiv.org

Reference: HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference: HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (arXiv preprint)

Reference: HotpotQA Official Dataset and Leaderboard

Reference: Dense Passage Retrieval for Open-Domain Question Answering

Reference: Dense Passage Retrieval for Open-Domain Question Answering (arXiv preprint)

LectureBank Dataset

MOOC-CS Prerequisite Benchmark

QASC Question Answering Benchmark

Late-Interaction Neural Retrieval

Recall@k Retrieval Metric

RePlug Retrieval-Augmented Black-Box Language Model

HotpotQA Multi-Hop QA Benchmark

Single-Vector Dense Passage Retrieval

Reference: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference: How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG

Reference: arxiv.org

Unbiased GraphRAG Evaluation Framework (Zeng et al., 2025)

Reference: RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

Reference: arxiv.org

RAG vs Graph-RAG Controlled Comparison (Han et al., 2025)

Reference: Controlled Retrieval-augmented Context Evaluation for Long-form RAG

Reference: Controlled Retrieval-augmented Context Evaluation for Long-form RAG (ACL Anthology)

CRUX Controlled RAG Context Evaluation (Ju et al., 2025)

Reference: Anytime Heuristic Search

Reference: The Anatomy of a Large-Scale Hypertextual Web Search Engine

Reference: Topic-Sensitive PageRank