mlsanityData to 14 Oct 2026

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

arXiv 1905.08743 ↗First posted 21 May 2019cs.CL cs.AIcited by 216

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Abstract (arXiv)

Over-dependence on domain ontology and lack of knowledge sharing across domains are two practical and yet less studied problems of dialogue state tracking. Existing approaches generally fall short in tracking unknown slot values during inference and often have difficulties in adapting to new domains. In this paper, we propose a Transferable Dialogue State Generator (TRADE) that generates dialogue states from utterances using a copy mechanism, facilitating knowledge transfer when predicting (domain, slot, value) triplets not encountered during training. Our model is composed of an utterance encoder, a slot gate, and a state generator, which are shared across domains. Empirical results demonstrate that TRADE achieves state-of-the-art joint goal accuracy of 48.62% for the five domains of MultiWOZ, a human-human dialogue dataset. In addition, we show its transferring ability by simulating zero-shot and few-shot dialogue state tracking for unseen domains. TRADE achieves 60.58% joint goal accuracy in one of the zero-shot domains, and is able to adapt to few-shot cases without forgetting already trained domains.

Key facts. Cited by 216 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 May 2019.

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Citing papers per year: 2021: 56; 2022: 59; 2023: 40; 2024: 30; 2025: 9; 2026: 22.

216 papers.

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  1. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 208
  2. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  3. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  4. 2021Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue Systemcited by 139
  5. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  6. 2021KLUE: Korean Language Understanding Evaluationcited by 114
  7. 2021Dialogue State Tracking with a Language Model using Schema-Driven Promptingcited by 94
  8. 2021MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluationcited by 88
  9. 2021Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systemscited by 75
  10. 2021Few-Shot Bot: Prompt-Based Learning for Dialogue Systemscited by 64
  11. 2021Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Trackingcited by 61
  12. 2021Zero-Shot Dialogue State Tracking via Cross-Task Transfercited by 52
38 more
  1. 2022Description-Driven Task-Oriented Dialog Modelingcited by 50
  2. 2022In-Context Learning for Few-Shot Dialogue State Trackingcited by 47
  3. 2022DeepStruct: Pretraining of Language Models for Structure Predictioncited by 45
  4. 2022Continual Prompt Tuning for Dialog State Trackingcited by 44
  5. 2022Controllable Dialogue Simulation with In-Context Learningcited by 42
  6. 2023SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Promptingcited by 39
  7. 2023ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?cited by 38
  8. 2021Few-shot Intent Classification and Slot Filling with Retrieved Examplescited by 35
  9. 2021Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Trackingcited by 35
  10. 2024Large Language Models as Zero-shot Dialogue State Tracker through Function Callingcited by 34
  11. 2021Zero-shot Generalization in Dialog State Tracking through Generative Question Answeringcited by 33
  12. 2021GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systemscited by 31
  13. 2021Annotation Inconsistency and Entity Bias in MultiWOZcited by 30
  14. 2021CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systemscited by 30
  15. 2022A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learningcited by 30
  16. 2022Learning to Execute Actions or Ask Clarification Questionscited by 30
  17. 2023Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue Systemcited by 30
  18. 2021Slot Self-Attentive Dialogue State Trackingcited by 27
  19. 2021Speech-language Pre-training for End-to-end Spoken Language Understandingcited by 27
  20. 2021Controllable Abstractive Dialogue Summarization with Sketch Supervisioncited by 27
  21. 2023Towards LLM-driven Dialogue State Trackingcited by 25
  22. 2021Gradual Fine-Tuning for Low-Resource Domain Adaptationcited by 24
  23. 2024Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulationcited by 24
  24. 2021Pretraining the Noisy Channel Model for Task-Oriented Dialoguecited by 23
  25. 2021Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detectioncited by 22
  26. 2022"Do you follow me?": A Survey of Recent Approaches in Dialogue State Trackingcited by 22
  27. 2021Virtual Augmentation Supported Contrastive Learning of Sentence Representationscited by 21
  28. 2021Amendable Generation for Dialogue State Trackingcited by 21
  29. 2022Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Trackingcited by 21
  30. 2021Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Trackingcited by 20
  31. 2021Effective Sequence-to-Sequence Dialogue State Trackingcited by 20
  32. 2021End-to-End Learning of Flowchart Grounded Task-Oriented Dialogscited by 20
  33. 2024Retrieval Augmented End-to-End Spoken Dialog Modelscited by 20
  34. 2021TODSum: Task-Oriented Dialogue Summarization with State Trackingcited by 19
  35. 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systemscited by 19
  36. 2021Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systemscited by 18
  37. 2021Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue Systemcited by 18
  38. 2022Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Trackingcited by 18

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