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A Knowledge-Grounded Neural Conversation Model

arXiv 1702.01932 ↗First posted 7 Feb 2017cs.CLcited by 136

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Abstract (arXiv)

Neural network models are capable of generating extremely natural sounding conversational interactions. Nevertheless, these models have yet to demonstrate that they can incorporate content in the form of factual information or entity-grounded opinion that would enable them to serve in more task-oriented conversational applications. This paper presents a novel, fully data-driven, and knowledge-grounded neural conversation model aimed at producing more contentful responses without slot filling. We generalize the widely-used Seq2Seq approach by conditioning responses on both conversation history and external "facts", allowing the model to be versatile and applicable in an open-domain setting. Our approach yields significant improvements over a competitive Seq2Seq baseline. Human judges found that our outputs are significantly more informative.

Key facts. Cited by 136 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Feb 2017.

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Citing papers per year: 2020: 1; 2021: 42; 2022: 38; 2023: 33; 2024: 15; 2025: 6; 2026: 1.

136 papers.

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  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  3. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 450
  4. 2023Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedbackcited by 351
  5. 2021Internet-Augmented Dialogue Generationcited by 217
  6. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  7. 2022A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Modelscited by 128
  8. 2023Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversationscited by 88
  9. 2023KoLA: Carefully Benchmarking World Knowledge of Large Language Modelscited by 85
  10. 2021Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Featurescited by 74
  11. 2021Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systemscited by 73
  12. 2023Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillingscited by 68
38 more
  1. 2022MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversationcited by 56
  2. 2021RevCore: Review-augmented Conversational Recommendationcited by 47
  3. 2021Towards Knowledge-Grounded Counter Narrative Generation for Hate Speechcited by 41
  4. 2021Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attentioncited by 40
  5. 2021NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversationcited by 35
  6. 2021Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialogcited by 33
  7. 2021Multimodal Dialogue Response Generationcited by 32
  8. 2021Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representationcited by 32
  9. 2021Semi-Supervised Variational Reasoning for Medical Dialogue Generationcited by 30
  10. 2021Commonsense-Focused Dialogues for Response Generation: An Empirical Studycited by 30
  11. 2021Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generationcited by 29
  12. 2022HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Datacited by 28
  13. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  14. 2022INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactionscited by 27
  15. 2021Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generationcited by 26
  16. 2021Focused Attention Improves Document-Grounded Generationcited by 24
  17. 2021Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapterscited by 23
  18. 2021RetGen: A Joint framework for Retrieval and Grounded Text Generation Modelingcited by 22
  19. 2022Multi-Stage Prompting for Knowledgeable Dialogue Generationcited by 22
  20. 2021DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualizationcited by 21
  21. 2021Exploring Prompt-based Few-shot Learning for Grounded Dialog Generationcited by 20
  22. 2021Maria: A Visual Experience Powered Conversational Agentcited by 19
  23. 2021A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generationcited by 19
  24. 2022DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generationcited by 19
  25. 2023KILM: Knowledge Injection into Encoder-Decoder Language Modelscited by 19
  26. 2023Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignmentcited by 19
  27. 2024CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Modelscited by 19
  28. 2021Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoderscited by 18
  29. 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
  30. 2022There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memorycited by 16
  31. 2023Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregationcited by 16
  32. 2024DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Modelscited by 15
  33. 2021Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generationcited by 13
  34. 2022KETOD: Knowledge-Enriched Task-Oriented Dialoguecited by 11
  35. 2022Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphscited by 11
  36. 2025Explainability in Practice: A Survey of Explainable NLP Across Various Domainscited by 11
  37. 2021Content Selection Network for Document-grounded Retrieval-based Chatbotscited by 10
  38. 2022Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systemscited by 10

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