mlsanityData to 7 Oct 2026

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

arXiv 2305.18846 ↗First posted 30 May 2023cs.CL cs.AI cs.LGcited by 54

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Cited by 33 in Retrieval-augmented generation, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Language models have achieved impressive performances on dialogue generation tasks. However, when generating responses for a conversation that requires factual knowledge, they are far from perfect, due to an absence of mechanisms to retrieve, encode, and reflect the knowledge in the generated responses. Some knowledge-grounded dialogue generation methods tackle this problem by leveraging facts from Knowledge Graphs (KGs); however, they do not guarantee that the model utilizes a relevant piece of knowledge from the KG. To overcome this limitation, we propose SUbgraph Retrieval-augmented GEneration (SURGE), a framework for generating context-relevant and knowledge-grounded dialogues with the KG. Specifically, our SURGE framework first retrieves the relevant subgraph from the KG, and then enforces consistency across facts by perturbing their word embeddings conditioned by the retrieved subgraph. Then, we utilize contrastive learning to ensure that the generated texts have high similarity to the retrieved subgraphs. We validate our SURGE framework on OpendialKG and KOMODIS datasets, showing that it generates high-quality dialogues that faithfully reflect the knowledge from KG.

Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). Builds on 36 of its 56 references that are in the map. First posted on arXiv 30 May 2023.

Builds on

36 of 56 references.

References · 36

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  4. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  5. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  6. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  7. 2017Graph Attention Networkscited by 8,854
  8. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  9. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  10. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  11. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
  12. 2017FiLM: Visual Reasoning with a General Conditioning Layercited by 2,286
24 more
  1. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  2. 2019Language Models as Knowledge Bases?cited by 1,922
  3. 2017Deep Setscited by 1,394
  4. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
  5. 2020On Faithfulness and Factuality in Abstractive Summarizationcited by 895
  6. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  7. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  8. 2018Object Hallucination in Image Captioningcited by 661
  9. 2020Recipes for building an open-domain chatbotcited by 593
  10. 2015Sequence Level Training with Recurrent Neural Networkscited by 568
  11. 2018Wizard of Wikipedia: Knowledge-Powered Conversational agentscited by 530
  12. 2020Towards a Human-like Open-Domain Chatbotcited by 467
  13. 2019Composition-based Multi-Relational Graph Convolutional Networkscited by 395
  14. 2020A Simple Language Model for Task-Oriented Dialoguecited by 331
  15. 2021Internet-Augmented Dialogue Generationcited by 217
  16. 2019Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoringcited by 164
  17. 2019Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphscited by 59
  18. 2021Edge Representation Learning with Hypergraphscited by 37
  19. 2019DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphscited by 33
  20. 2021Open Domain Question Answering with A Unified Knowledge Interfacecited by 32
  21. 2021Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representationcited by 32
  22. 2022DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generationcited by 19
  23. 2022Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systemscited by 10
  24. 2020A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Modelscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 30; 2025: 19; 2026: 2.

54 papers.

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  1. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  2. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  3. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 450
  4. 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 217
  5. 2025A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Modelscited by 85
  6. 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilotcited by 83
  7. 2024Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generationcited by 78
  8. 2024A Survey on Retrieval-Augmented Text Generation for Large Language Modelscited by 77
  9. 2024GRAG: Graph Retrieval-Augmented Generationcited by 77
  10. 2024Mixture of A Million Expertscited by 70
  11. 2024KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generationcited by 67
  12. 2024CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Modelscited by 50
38 more
  1. 2024When Large Language Models Meet Vector Databases: A Surveycited by 39
  2. 2025A Survey on Knowledge-Oriented Retrieval-Augmented Generationcited by 34
  3. 2024Grounding Language Model with Chunking-Free In-Context Retrievalcited by 30
  4. 2025A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directionscited by 30
  5. 2024Mask-based Membership Inference Attacks for Retrieval-Augmented Generationcited by 29
  6. 2023HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responsescited by 25
  7. 2024RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processingcited by 25
  8. 2025HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generationcited by 24
  9. 2024Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generationcited by 23
  10. 2024Adaptive Retrieval-Augmented Generation for Conversational Systemscited by 22
  11. 2024EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundariescited by 16
  12. 2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLcited by 14
  13. 2024Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUTcited by 14
  14. 2024Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistencycited by 14
  15. 2024RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answeringcited by 13
  16. 2024KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Modelscited by 12
  17. 2024Retrieval-Enhanced Machine Learning: Synthesis and Opportunitiescited by 11
  18. 2024CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checkingcited by 11
  19. 2025Personalized Graph-Based Retrieval for Large Language Modelscited by 10
  20. 2024A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoningcited by 8
  21. 2025A Survey on Retrieval And Structuring Augmented Generation with Large Language Modelscited by 8
  22. 2024Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunitiescited by 7
  23. 2025GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoningcited by 7
  24. 2024Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generationcited by 6
  25. 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automatoncited by 5
  26. 2024Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solvingcited by 4
  27. 2023Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrievalcited by 3
  28. 2024Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMscited by 3
  29. 2025StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answeringcited by 3
  30. 2025KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generationcited by 2
  31. 2025Research on Graph-Retrieval Augmented Generation Based on Historical Text Knowledge Graphscited by 2
  32. 2025Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generationcited by 1
  33. 2025EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generationcited by 1
  34. 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenancecited by 1
  35. 2025Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendationscited by 1
  36. 2024Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Contextcited by 0
  37. 2025Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart gridcited by 0
  38. 2025A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economycited by 0

50 most cited of 54 All 54 (JSON)

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  1. 2025Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs
  2. 2021Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog
  3. 2021Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
  4. 2023Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring
  5. 2024UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems
  6. 2022KGI: An Integrated Framework for Knowledge Intensive Language Tasks
  7. 2022RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
  8. 2026SKG-Eval: Stateful Evaluation of Multi-Turn Dialogue via Incremental Semantic Knowledge Graphs