mlsanityData to 7 Oct 2026

An Interpretable Reasoning Network for Multi-Relation Question Answering

arXiv 1801.04726 ↗First posted 15 Jan 2018cs.CLcited by 47

Not on the map. Why?

Abstract (arXiv)

Multi-relation Question Answering is a challenging task, due to the requirement of elaborated analysis on questions and reasoning over multiple fact triples in knowledge base. In this paper, we present a novel model called Interpretable Reasoning Network that employs an interpretable, hop-by-hop reasoning process for question answering. The model dynamically decides which part of an input question should be analyzed at each hop; predicts a relation that corresponds to the current parsed results; utilizes the predicted relation to update the question representation and the state of the reasoning process; and then drives the next-hop reasoning. Experiments show that our model yields state-of-the-art results on two datasets. More interestingly, the model can offer traceable and observable intermediate predictions for reasoning analysis and failure diagnosis, thereby allowing manual manipulation in predicting the final answer.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jan 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 10; 2023: 7; 2024: 4; 2025: 3; 2026: 9.

47 papers.

Sort:

By area:

  1. 2022Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answeringcited by 93
  2. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 77
  3. 2023Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answeringcited by 64
  4. 2021TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graphcited by 60
  5. 2021JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphscited by 58
  6. 2024InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignmentcited by 56
  7. 2021Complex Knowledge Base Question Answering: A Surveycited by 52
  8. 2021NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversationcited by 35
  9. 2021Explainable AI: current status and future directionscited by 32
  10. 2021TempoQR: Temporal Question Reasoning over Knowledge Graphscited by 26
  11. 2023Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generationcited by 21
  12. 2022ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphscited by 16
35 more
  1. 2022Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answeringcited by 15
  2. 2022Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisiscited by 14
  3. 2022Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?cited by 13
  4. 2022AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQLcited by 8
  5. 2023Diversifying Question Generation over Knowledge Base via External Natural Questionscited by 6
  6. 2024SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generationcited by 6
  7. 2024SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generationcited by 6
  8. 2022QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphscited by 5
  9. 2022INTERACTION: A Generative XAI Framework for Natural Language Inference Explanationscited by 5
  10. 2022Evaluation of Question Answering Systems: Complexity of judging a natural languagecited by 5
  11. 2024A Survey on Neural Question Generation: Methods, Applications, and Prospectscited by 5
  12. 2025Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphscited by 5
  13. 2021Reasoning Chain Based Adversarial Attack for Multi-hop Question Answeringcited by 4
  14. 2021Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinkingcited by 2
  15. 2021Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphscited by 2
  16. 2026FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphscited by 2
  17. 2021Integrating Subgraph-aware Relation and DirectionReasoning for Question Answeringcited by 1
  18. 2021Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interactioncited by 1
  19. 2022Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answeringcited by 1
  20. 2023Semantic Operator Prediction and Applicationscited by 1
  21. 2023An In-Context Schema Understanding Method for Knowledge Base Question Answeringcited by 1
  22. 2023Relation-Aware Question Answering for Heterogeneous Knowledge Graphscited by 1
  23. 2025Multi-Hop Reasoning for Question Answering with Hyperbolic Representationscited by 1
  24. 2025Knowledge Fusion via Bidirectional Information Aggregationcited by 1
  25. 2026Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibrationcited by 1
  26. 2026Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigationcited by 1
  27. 2021Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddingscited by 0
  28. 2021An Inference Approach To Question Answering Over Knowledge Graphscited by 0
  29. 2023GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphscited by 0
  30. 2026TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluationcited by 0
  31. 2026ChronoQG: Towards a Temporally Expressive and Hop-Bounded Benchmark for Temporal Knowledge Graph Question Generationcited by 0
  32. 2026KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrievalcited by 0
  33. 2026The Graph Language: How Knowledge Graphs Speak to Large Language Modelscited by 0
  34. 2026FedV-KGQA in Practice: Design Lessons and an Interactive Prototypecited by 0
  35. 2026Cost Characterization of Vertically Partitioned Federated Knowledge Graphscited by 0