mlsanityData to 14 Oct 2026

Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation

arXiv 2502.12737 ↗First posted 18 Feb 2025cs.CL cs.AIcited by 8

Not on the map. Why?

Abstract (arXiv)

Knowledge base question answering (KBQA) aims to answer user questions in natural language using rich human knowledge stored in large KBs. As current KBQA methods struggle with unseen knowledge base elements at test time,we introduce SG-KBQA: a novel model that injects schema contexts into entity retrieval and logical form generation to tackle this issue. It uses the richer semantics and awareness of the knowledge base structure provided by schema contexts to enhance generalizability. We show that SG-KBQA achieves strong generalizability, outperforming state-of-the-art models on two commonly used benchmark datasets across a variety of test settings. Our source code is available at https://github.com/gaosx2000/SG_KBQA.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 17 of its 37 references that are in the map. First posted on arXiv 18 Feb 2025.

Builds on

17 of 37 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  4. 2018The Web as a Knowledge-base for Answering Complex Questionscited by 410
  5. 2023Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graphcited by 238
  6. 2020Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Basescited by 171
  7. 2022UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graphcited by 103
  8. 2021Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signalscited by 101
  9. 2022DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Basescited by 84
  10. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 78
  11. 2020Efficient One-Pass End-to-End Entity Linking for Questionscited by 76
  12. 2022TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Basescited by 59
5 more
  1. 2024FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answeringcited by 39
  2. 2021Program Transfer for Answering Complex Questions over Knowledge Basescited by 34
  3. 2022Knowledge Base Question Answering: A Semantic Parsing Perspectivecited by 22
  4. 2024Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrievalcited by 16
  5. 2024LLM-based Discriminative Reasoning for Knowledge Graph Question Answeringcited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.

  1. 2025Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learningcited by 5
  2. 2026Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checkingcited by 3
  3. 2025Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoningcited by 1
  4. 2025R2-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillationcited by 0
  5. 2026Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinementcited by 0
  6. 2026DeSQ: Decomposition-based SPARQL Query Generationcited by 0
  7. 2026KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systemscited by 0
  8. 2026AutoSchema: Live Schema Grounding for Agentic Text-to-Sparql over Heterogeneous Knowledge Graphscited by 0