mlsanityData to 7 Oct 2026

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

arXiv 2408.04259 ↗First posted 8 Aug 2024cs.CL cs.AIcited by 24

On the map: Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG

Abstract (arXiv)

Retrieval-augmented generation (RAG) methods encounter difficulties when addressing complex questions like multi-hop queries. While iterative retrieval methods improve performance by gathering additional information, current approaches often rely on multiple calls of large language models (LLMs). In this paper, we introduce EfficientRAG, an efficient retriever for multi-hop question answering. EfficientRAG iteratively generates new queries without the need for LLM calls at each iteration and filters out irrelevant information. Experimental results demonstrate that EfficientRAG surpasses existing RAG methods on three open-domain multi-hop question-answering datasets.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Placed in Knowledge-graph and structured-knowledge RAG, one of 15 directions in Retrieval-augmented generation. Builds on 21 of its 34 references that are in the map. First posted on arXiv 8 Aug 2024.

Builds on

21 of 34 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy24 May

Other references · 20

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  5. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  6. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  7. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
  8. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  9. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  10. 2021Improving language models by retrieving from trillions of tokenscited by 1,278
  11. 2020Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Stepscited by 1,259
  12. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,203
8 more
  1. 2022Measuring and Narrowing the Compositionality Gap in Language Modelscited by 1,054
  2. 2022Atlas: Few-shot Learning with Retrieval Augmented Language Modelscited by 940
  3. 2022Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questionscited by 911
  4. 2023REPLUG: Retrieval-Augmented Black-Box Language Modelscited by 786
  5. 2024LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compressioncited by 343
  6. 2016NewsQA: A Machine Comprehension Datasetcited by 330
  7. 2022Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPcited by 316
  8. 2023Mirror: A Universal Framework for Various Information Extraction Taskscited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 12; 2026: 9.

24 papers.

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  1. 2025MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learningcited by 26
  2. 2024Atomic Fact Decomposition Helps Attributed Question Answeringcited by 21
  3. 2024Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perceptioncited by 17
  4. 2024Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Modelscited by 14
  5. 2025ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answeringcited by 10
  6. 2025Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answeringcited by 6
  7. 2025Optimizing Multi-Hop Document Retrieval Through Intermediate Representationscited by 5
  8. 2025Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documentscited by 4
  9. 2025SUBQRAG: Sub-Question Driven Dynamic Graph RAGcited by 3
  10. 2025OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processingcited by 2
  11. 2025Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Frameworkcited by 2
  12. 2025Think Straight, Stop Smart: Structured Reasoning for Efficient Multi-Hop RAGcited by 1
12 more
  1. 2026CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answeringcited by 1
  2. 2026SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgescited by 1
  3. 2025A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systemscited by 0
  4. 2025Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answeringcited by 0
  5. 2025A Comprehensive Evaluation of Transformer-Based Question Answering Models and RAG-Enhanced Designcited by 0
  6. 2026SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answeringcited by 0
  7. 2026D2F-ReAG: Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented Generationcited by 0
  8. 2026SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgescited by 0
  9. 2026XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answeringcited by 0
  10. 2026Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAGcited by 0
  11. 2026X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalizationcited by 0
  12. 2026Learning to Retrieve Missing Evidence for Long-Term Memory QAcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
  2. 2026ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
  3. 2025HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
  4. 2026A Matryoshka Hierarchical RAG for Efficient Multi-Hop Question Answering
  5. 2026Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
  6. 2024Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
  7. 2026DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
  8. 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers