mlsanityData to 7 Oct 2026

Retrieve and Refine: Improved Sequence Generation Models For Dialogue

arXiv 1808.04776 ↗First posted 14 Aug 2018cs.CLcited by 82

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Abstract (arXiv)

Sequence generation models for dialogue are known to have several problems: they tend to produce short, generic sentences that are uninformative and unengaging. Retrieval models on the other hand can surface interesting responses, but are restricted to the given retrieval set leading to erroneous replies that cannot be tuned to the specific context. In this work we develop a model that combines the two approaches to avoid both their deficiencies: first retrieve a response and then refine it -- the final sequence generator treating the retrieval as additional context. We show on the recent CONVAI2 challenge task our approach produces responses superior to both standard retrieval and generation models in human evaluations.

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Aug 2018.

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Citing papers per year: 2020: 1; 2021: 28; 2022: 18; 2023: 16; 2024: 16; 2025: 2; 2026: 1.

82 papers.

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  2. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,184
  3. 2022"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Datasetcited by 160
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  6. 2023Lift Yourself Up: Retrieval-augmented Text Generation with Self Memorycited by 103
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  8. 2021Improving Named Entity Recognition by External Context Retrieving and Cooperative Learningcited by 76
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  10. 2021Neural Machine Translation with Monolingual Translation Memorycited by 61
  11. 2023kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inferencecited by 47
  12. 2024AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Frameworkcited by 47
38 more
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  2. 2024Goldfish: Vision-Language Understanding of Arbitrarily Long Videoscited by 38
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  4. 2021Controllable Semantic Parsing via Retrieval Augmentationcited by 35
  5. 2025A Survey on Knowledge-Oriented Retrieval-Augmented Generationcited by 34
  6. 2023WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpuscited by 29
  7. 2024Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximizationcited by 29
  8. 2023Retrieval-augmented Image Captioningcited by 28
  9. 2022Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Modelscited by 26
  10. 2023Copy Is All You Needcited by 25
  11. 2024Jill Watson: A Virtual Teaching Assistant powered by ChatGPTcited by 24
  12. 2021Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue modelscited by 23
  13. 2022CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generationcited by 23
  14. 2024Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Modelscited by 23
  15. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  16. 2022Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Trainingcited by 16
  17. 2021RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsingcited by 15
  18. 2021Unsupervised Enrichment of Persona-grounded Dialog with Background Storiescited by 14
  19. 2024Accelerating Retrieval-Augmented Generationcited by 14
  20. 2021Advances in Multi-turn Dialogue Comprehension: A Surveycited by 12
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  22. 2022Seamlessly Integrating Factual Information and Social Content with Persuasive Dialoguecited by 11
  23. 2022Domain-Specific NER via Retrieving Correlated Samplescited by 11
  24. 2021Transferable Persona-Grounded Dialogues via Grounded Minimal Editscited by 10
  25. 2024Retrieval is Accurate Generationcited by 10
  26. 2021Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communicationcited by 9
  27. 2021Comparative Explanations of Recommendationscited by 8
  28. 2021Faster Nearest Neighbor Machine Translationcited by 8
  29. 2022AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialogcited by 8
  30. 2022kNN-NER: Named Entity Recognition with Nearest Neighbor Searchcited by 6
  31. 2023SYNDICOM: Improving Conversational Commonsense with Error-Injection and Natural Language Feedbackcited by 6
  32. 2021EmpBot: A T5-based Empathetic Chatbot focusing on Sentimentscited by 5
  33. 2022MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialoguecited by 5
  34. 2022Every picture tells a story: Image-grounded controllable stylistic story generationcited by 5
  35. 2022Knowledge-grounded Dialog State Trackingcited by 5
  36. 2022PoKE: Prior Knowledge Enhanced Emotional Support Conversation with Latent Variablecited by 5
  37. 2023TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Modelcited by 5
  38. 2024Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversationcited by 5

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