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Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

arXiv 2010.08824 ↗First posted 17 Oct 2020cs.CLcited by 107

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Abstract (arXiv)

We study knowledge-grounded dialogue generation with pre-trained language models. To leverage the redundant external knowledge under capacity constraint, we propose equipping response generation defined by a pre-trained language model with a knowledge selection module, and an unsupervised approach to jointly optimizing knowledge selection and response generation with unlabeled dialogues. Empirical results on two benchmarks indicate that our model can significantly outperform state-of-the-art methods in both automatic evaluation and human judgment.

Key facts. Cited by 107 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Oct 2020.

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Citing papers per year: 2021: 21; 2022: 38; 2023: 31; 2024: 13; 2025: 4.

107 papers.

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  1. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
  2. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  3. 2021Internet-Augmented Dialogue Generationcited by 217
  4. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  5. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  6. 2022FaithDial: A Faithful Benchmark for Information-Seeking Dialoguecited by 108
  7. 2021Pretrained Language Models for Text Generation: A Surveycited by 95
  8. 2021Language Models are Few-shot Multilingual Learnerscited by 92
  9. 2024Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agentscited by 69
  10. 2022RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Groundingcited by 47
  11. 2022Contrastive Learning Reduces Hallucination in Conversationscited by 39
  12. 2021Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialogcited by 33
38 more
  1. 2021Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representationcited by 32
  2. 2022Summarization as Indirect Supervision for Relation Extractioncited by 31
  3. 2021Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generationcited by 26
  4. 2023Large Language Models are Strong Zero-Shot Retrievercited by 25
  5. 2021Focused Attention Improves Document-Grounded Generationcited by 24
  6. 2021Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapterscited by 23
  7. 2021RetGen: A Joint framework for Retrieval and Grounded Text Generation Modelingcited by 22
  8. 2022Multi-Stage Prompting for Knowledgeable Dialogue Generationcited by 22
  9. 2024Adaptive Retrieval-Augmented Generation for Conversational Systemscited by 22
  10. 2021DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualizationcited by 21
  11. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  12. 2021Maria: A Visual Experience Powered Conversational Agentcited by 19
  13. 2021A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generationcited by 19
  14. 2021End-to-End Learning of Flowchart Grounded Task-Oriented Dialogscited by 19
  15. 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
  16. 2022There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memorycited by 16
  17. 2023Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregationcited by 16
  18. 2023Generative Knowledge Selection for Knowledge-Grounded Dialoguescited by 15
  19. 2021Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generationcited by 13
  20. 2022BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasetscited by 13
  21. 2022Multi-hop Evidence Retrieval for Cross-document Relation Extractioncited by 13
  22. 2022Knowledge Infused Decodingcited by 12
  23. 2022Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphscited by 11
  24. 2023Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologuecited by 11
  25. 2022Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversationcited by 10
  26. 2022PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Modelcited by 9
  27. 2023GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generationcited by 9
  28. 2023DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversationscited by 9
  29. 2022Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generationcited by 8
  30. 2022Target-Guided Open-Domain Conversation Planningcited by 8
  31. 2023Opening up Minds with Argumentative Dialoguescited by 8
  32. 2022LARD: Large-scale Artificial Disfluency Generationcited by 7
  33. 2024Are LLMs Robust for Spoken Dialogues?cited by 7
  34. 2024Harnessing Business and Media Insights with Large Language Modelscited by 7
  35. 2024Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapycited by 7
  36. 2021Towards Standard Criteria for human evaluation of Chatbots: A Surveycited by 6
  37. 2023Coarse-to-Fine Knowledge Selection for Document Grounded Dialogscited by 6
  38. 2023Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?cited by 6

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