mlsanityData to 7 Oct 2026

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering

arXiv 2306.14722 ↗First posted 26 Jun 2023cs.AIcited by 21

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Abstract (arXiv)

The generalization problem on KBQA has drawn considerable attention. Existing research suffers from the generalization issue brought by the entanglement in the coarse-grained modeling of the logical expression, or inexecutability issues due to the fine-grained modeling of disconnected classes and relations in real KBs. We propose a Fine-to-Coarse Composition framework for KBQA (FC-KBQA) to both ensure the generalization ability and executability of the logical expression. The main idea of FC-KBQA is to extract relevant fine-grained knowledge components from KB and reformulate them into middle-grained knowledge pairs for generating the final logical expressions. FC-KBQA derives new state-of-the-art performance on GrailQA and WebQSP, and runs 4 times faster than the baseline.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 20 of its 38 references that are in the map. First posted on arXiv 26 Jun 2023.

Builds on

20 of 38 references.

References · 20

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
  4. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  5. 2019RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parserscited by 420
  6. 2018The Web as a Knowledge-base for Answering Complex Questionscited by 409
  7. 2023RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLcited by 191
  8. 2019PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Textcited by 182
  9. 2020Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Basescited by 169
  10. 2018Coarse-to-Fine Decoding for Neural Semantic Parsingcited by 110
  11. 2021Case-based Reasoning for Natural Language Queries over Knowledge Basescited by 107
  12. 2021Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signalscited by 100
8 more
  1. 2022Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answeringcited by 93
  2. 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
  3. 2019Scalable Zero-shot Entity Linking with Dense Entity Retrievalcited by 85
  4. 2020KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Basecited by 76
  5. 2022TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Basescited by 59
  6. 2020Leveraging Abstract Meaning Representation for Knowledge Base Question Answeringcited by 53
  7. 2020SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Basescited by 47
  8. 2021Program Transfer for Answering Complex Questions over Knowledge Basescited by 34

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 6; 2025: 8; 2026: 3.

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  1. 2024Retrieval-Augmented Generation for AI-Generated Content: A Surveycited by 352
  2. 2024KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graphcited by 90
  3. 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphscited by 77
  4. 2023ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Modelscited by 44
  5. 2023Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answeringcited by 28
  6. 2024Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Modelscited by 25
  7. 2023Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Modelscited by 11
  8. 2025EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answeringcited by 7
  9. 2023May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainabilitycited by 5
  10. 2024SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decodingcited by 5
  11. 2025KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answeringcited by 5
  12. 2025Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphscited by 5
9 more
  1. 2025RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMscited by 4
  2. 2025Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answeringcited by 3
  3. 2025KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answeringcited by 3
  4. 2026CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphscited by 3
  5. 2025PPoGA: Predictive Plan-on-Graph with Action for Knowledge Graph Question Answeringcited by 1
  6. 2024Rehearsing Answers to Probable Questions with Perspective-Takingcited by 0
  7. 2025PGDA-KGQA: A Prompt-Guided Generative Framework with Multiple Data Augmentation Strategies for Knowledge Graph Question Answeringcited by 0
  8. 2026CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answeringcited by 0
  9. 2026Compositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Modelscited by 0