mlsanityData to 7 Oct 2026

Generation-Augmented Retrieval for Open-domain Question Answering

arXiv 2009.08553 ↗First posted 17 Sep 2020cs.CL cs.IRcited by 186

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Cited by 41 in Retrieval-augmented generation, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We propose Generation-Augmented Retrieval (GAR) for answering open-domain questions, which augments a query through text generation of heuristically discovered relevant contexts without external resources as supervision. We demonstrate that the generated contexts substantially enrich the semantics of the queries and GAR with sparse representations (BM25) achieves comparable or better performance than state-of-the-art dense retrieval methods such as DPR. We show that generating diverse contexts for a query is beneficial as fusing their results consistently yields better retrieval accuracy. Moreover, as sparse and dense representations are often complementary, GAR can be easily combined with DPR to achieve even better performance. GAR achieves state-of-the-art performance on Natural Questions and TriviaQA datasets under the extractive QA setup when equipped with an extractive reader, and consistently outperforms other retrieval methods when the same generative reader is used.

Key facts. Cited by 186 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Sep 2020.

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Citing papers per year: 2021: 21; 2022: 35; 2023: 28; 2024: 60; 2025: 31; 2026: 11.

186 papers.

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  1. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  2. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,184
  3. 2023Active Retrieval Augmented Generationcited by 506
  4. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  5. 2024Understanding the planning of LLM agents: A surveycited by 414
  6. 2023RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generationcited by 357
  7. 2023Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergycited by 343
  8. 2022Generate rather than Retrieve: Large Language Models are Strong Context Generatorscited by 296
  9. 2022Transformer Memory as a Differentiable Search Indexcited by 242
  10. 2024CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusioncited by 211
  11. 2021Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrievalcited by 203
  12. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
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  1. 2021RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingcited by 175
  2. 2023JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Modelscited by 170
  3. 2021Condenser: a Pre-training Architecture for Dense Retrievalcited by 162
  4. 2024Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Modelscited by 150
  5. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  6. 2023Physics of Language Models: Part 3.2, Knowledge Manipulationcited by 142
  7. 2024Language agents achieve superhuman synthesis of scientific knowledgecited by 121
  8. 2022Autoregressive Search Engines: Generating Substrings as Document Identifierscited by 112
  9. 2023Evaluating Open-Domain Question Answering in the Era of Large Language Modelscited by 110
  10. 2024ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidencecited by 109
  11. 2024Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Trainingcited by 88
  12. 2025A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Modelscited by 85
  13. 2021Adversarial Retriever-Ranker for dense text retrievalcited by 82
  14. 2023Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrievalcited by 77
  15. 2023Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Modelscited by 67
  16. 2023ConvGQR: Generative Query Reformulation for Conversational Searchcited by 59
  17. 2024CoIR: A Comprehensive Benchmark for Code Information Retrieval Modelscited by 59
  18. 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generationcited by 59
  19. 2021Domain-matched Pre-training Tasks for Dense Retrievalcited by 53
  20. 2021MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documentscited by 53
  21. 2021NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learnedcited by 52
  22. 2021PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrievalcited by 50
  23. 2025AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agentscited by 49
  24. 2022Questions Are All You Need to Train a Dense Passage Retrievercited by 47
  25. 2023Learning to Rank in Generative Retrievalcited by 46
  26. 2025When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generationcited by 46
  27. 2024Octopus v2: On-device language model for super agentcited by 45
  28. 2024EPIC: Efficient Position-Independent Caching for Serving Large Language Modelscited by 45
  29. 2021LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrievalcited by 44
  30. 2022ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrievalcited by 41
  31. 2024KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systemscited by 38
  32. 2021A Replication Study of Dense Passage Retrievercited by 37
  33. 2021R2-D2: A Modular Baseline for Open-Domain Question Answeringcited by 37
  34. 2024Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Modelscited by 34
  35. 2024INMS: Memory Sharing for Large Language Model based Agentscited by 31
  36. 2025Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunitiescited by 30
  37. 2024The Automated Verification of Textual Claims (AVeriTeC) Shared Taskcited by 29
  38. 2021Rider: Reader-Guided Passage Reranking for Open-Domain Question Answeringcited by 28

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