Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
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Cited by 31 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Recent works on knowledge base question answering (KBQA) retrieve subgraphs for easier reasoning. A desired subgraph is crucial as a small one may exclude the answer but a large one might introduce more noises. However, the existing retrieval is either heuristic or interwoven with the reasoning, causing reasoning on the partial subgraphs, which increases the reasoning bias when the intermediate supervision is missing. This paper proposes a trainable subgraph retriever (SR) decoupled from the subsequent reasoning process, which enables a plug-and-play framework to enhance any subgraph-oriented KBQA model. Extensive experiments demonstrate SR achieves significantly better retrieval and QA performance than existing retrieval methods. Via weakly supervised pre-training as well as the end-to-end fine-tuning, SRl achieves new state-of-the-art performance when combined with NSM, a subgraph-oriented reasoner, for embedding-based KBQA methods.
Key facts. Cited by 93 papers in the map (data through 7 Oct 2026). Builds on 19 of its 33 references that are in the map. First posted on arXiv 27 Feb 2022.
Builds on
19 of 33 references.
References · 19
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
- 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
- 2020Big Bird: Transformers for Longer Sequencescited by 1,673
- 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,203
- 2018The Web as a Knowledge-base for Answering Complex Questionscited by 409
- 2016Key-Value Memory Networks for Directly Reading Documentscited by 223
- 2019PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Textcited by 182
- 2017Variational Reasoning for Question Answering with Knowledge Graphcited by 170
- 2018Open Domain Question Answering Using Early Fusion of Knowledge Bases and Textcited by 167
- 2019Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answeringcited by 147
- 2021Case-based Reasoning for Natural Language Queries over Knowledge Basescited by 107
7 more
- 2016Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervisioncited by 101
- 2021Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signalscited by 100
- 2021End-to-End Training of Neural Retrievers for Open-Domain Question Answeringcited by 75
- 2018An Interpretable Reasoning Network for Multi-Relation Question Answeringcited by 47
- 2020SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Basescited by 47
- 2019UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answeringcited by 37
- 2019Bidirectional Attentive Memory Networks for Question Answering over Knowledge Basescited by 30
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Citing papers per year: 2022: 5; 2023: 23; 2024: 21; 2025: 31; 2026: 13.
93 papers.
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- 2022DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Basescited by 83
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- 2022TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Basescited by 59
- 2023KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Basescited by 52
- 2024Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Modelscited by 47
- 2023ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Modelscited by 44
38 more
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- 2023Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Modelscited by 21
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- 2023An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answeringcited by 19
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- 2026NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering17 Feb 2026
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- 2023KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Basescited by 52
- 2023ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Modelscited by 44
- 2023Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Studycited by 29
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- 2026Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey12 May 2026
- 2026Learning to Recommend Multi-Agent Subgraphs from Calling Trees29 Jan 2026
- 2025KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering10 Dec 2025
- 2025Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach28 Nov 2025
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- 2025RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs25 Sep 2025
- 2025DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS1 Aug 2025
- 2025On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey28 Jul 2025
- 2025PGDA-KGQA: A Prompt-Guided Generative Framework with Multiple Data Augmentation Strategies for Knowledge Graph Question Answering11 Jun 2025
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