mlsanityData to 7 Oct 2026

Q-TOD: A Query-driven Task-oriented Dialogue System

arXiv 2210.07564 ↗First posted 14 Oct 2022cs.CLcited by 10

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Abstract (arXiv)

Existing pipelined task-oriented dialogue systems usually have difficulties adapting to unseen domains, whereas end-to-end systems are plagued by large-scale knowledge bases in practice. In this paper, we introduce a novel query-driven task-oriented dialogue system, namely Q-TOD. The essential information from the dialogue context is extracted into a query, which is further employed to retrieve relevant knowledge records for response generation. Firstly, as the query is in the form of natural language and not confined to the schema of the knowledge base, the issue of domain adaption is alleviated remarkably in Q-TOD. Secondly, as the query enables the decoupling of knowledge retrieval from the generation, Q-TOD gets rid of the issue of knowledge base scalability. To evaluate the effectiveness of the proposed Q-TOD, we collect query annotations for three publicly available task-oriented dialogue datasets. Comprehensive experiments verify that Q-TOD outperforms strong baselines and establishes a new state-of-the-art performance on these datasets.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 31 of its 38 references that are in the map. First posted on arXiv 14 Oct 2022.

Builds on

31 of 38 references.

References · 31

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  7. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
  8. 2022UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Modelscited by 231
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  10. 2021RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingcited by 175
  11. 2020Open-Domain Question Answering Goes Conversational via Question Rewritingcited by 147
  12. 2021Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue Systemcited by 139
19 more
  1. 2017Key-Value Retrieval Networks for Task-Oriented Dialoguecited by 137
  2. 2020UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2cited by 111
  3. 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
  4. 2021GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injectioncited by 102
  5. 2022Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completioncited by 102
  6. 2020Question Rewriting for Conversational Question Answeringcited by 93
  7. 2021CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learningcited by 68
  8. 2019Global-to-local Memory Pointer Networks for Task-Oriented Dialoguecited by 47
  9. 2020Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialogcited by 37
  10. 2020Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systemscited by 35
  11. 2021Reason first, then respond: Modular Generation for Knowledge-infused Dialoguecited by 32
  12. 2021Pretraining the Noisy Channel Model for Task-Oriented Dialoguecited by 23
  13. 2019Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retrievercited by 21
  14. 2022BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialogcited by 20
  15. 2018Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representationcited by 16
  16. 2021Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQLcited by 13
  17. 2021Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogscited by 11
  18. 2022CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parserscited by 11
  19. 2020Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systemscited by 8

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Cited by year

Citing papers per year: 2022: 1; 2023: 6; 2024: 2; 2025: 1.

10 papers.

  1. 2023A Survey of the Evolution of Language Model-Based Dialogue Systems: Data, Task and Modelscited by 23
  2. 2023End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directionscited by 17
  3. 2023Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialogcited by 6
  4. 2024Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systemscited by 4
  5. 2024TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilitiescited by 4
  6. 2023Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue Systemcited by 3
  7. 2023Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systemscited by 3
  8. 2022Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modelingcited by 2
  9. 2023Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue Systemcited by 1
  10. 2025Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedbackcited by 0