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Dialogue Natural Language Inference

arXiv 1811.00671 ↗First posted 1 Nov 2018cs.CL cs.AIcited by 135

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Abstract (arXiv)

Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natural language inference dataset called Dialogue NLI. We propose a method which demonstrates that a model trained on Dialogue NLI can be used to improve the consistency of a dialogue model, and evaluate the method with human evaluation and with automatic metrics on a suite of evaluation sets designed to measure a dialogue model's consistency.

Key facts. Cited by 135 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Nov 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 37; 2022: 38; 2023: 30; 2024: 20; 2025: 4; 2026: 6.

135 papers.

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  1. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
  2. 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 830
  3. 2021Measuring Attribution in Natural Language Generation Modelscited by 256
  4. 2023LM vs LM: Detecting Factual Errors via Cross Examinationcited by 156
  5. 2021Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answeringcited by 132
  6. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  7. 2021How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVENcited by 124
  8. 2023Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigationcited by 124
  9. 2021Entity-level Factual Consistency of Abstractive Text Summarizationcited by 118
  10. 2022FaithDial: A Faithful Benchmark for Information-Seeking Dialoguecited by 109
  11. 2021Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoningcited by 85
  12. 2022AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversationcited by 79
38 more
  1. 2021Evaluating Attribution in Dialogue Systems: The BEGIN Benchmarkcited by 77
  2. 2021BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Datacited by 75
  3. 2023PLACES: Prompting Language Models for Social Conversation Synthesiscited by 72
  4. 2021Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameterscited by 66
  5. 2022Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settingscited by 66
  6. 2021DialFact: A Benchmark for Fact-Checking in Dialoguecited by 62
  7. 2021DynaEval: Unifying Turn and Dialogue Level Evaluationcited by 59
  8. 2021AR-LSAT: Investigating Analytical Reasoning of Textcited by 51
  9. 2022NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Flycited by 48
  10. 2023Faithful Persona-based Conversational Dataset Generation with Large Language Modelscited by 47
  11. 2021Can NLI Models Verify QA Systems' Predictions?cited by 46
  12. 2022Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systemscited by 44
  13. 2022Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inferencecited by 40
  14. 2021One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profilescited by 39
  15. 2022InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuningcited by 39
  16. 2022Prompt Injection: Parameterization of Fixed Inputscited by 36
  17. 2021What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarizationcited by 35
  18. 2023DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacycited by 34
  19. 2022EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Trainingcited by 31
  20. 2023DialogBench: Evaluating LLMs as Human-like Dialogue Systemscited by 31
  21. 2025Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challengescited by 31
  22. 2021Focus Attention: Promoting Faithfulness and Diversity in Summarizationcited by 30
  23. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  24. 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Tokencited by 26
  25. 2022A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generationcited by 25
  26. 2022Personalized Dialogue Generation with Persona-Adaptive Attentioncited by 24
  27. 2023Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Personacited by 24
  28. 2023MPCHAT: Towards Multimodal Persona-Grounded Conversationcited by 24
  29. 2021Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue modelscited by 23
  30. 2024Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluationscited by 20
  31. 2021Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understandingcited by 19
  32. 2023Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignmentcited by 19
  33. 2021Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue Systemcited by 18
  34. 2022ILDAE: Instance-Level Difficulty Analysis of Evaluation Datacited by 17
  35. 2022Learning Dialogue Representations from Consecutive Utterancescited by 17
  36. 2022Improving Personality Consistency in Conversation by Persona Extendingcited by 17
  37. 2023Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialoguescited by 17
  38. 2024Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Datasetcited by 16

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