mlsanityData to 7 Oct 2026

Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

arXiv 2204.07299 ↗First posted 15 Apr 2022cs.CLcited by 12

Not on the map. Why?

Abstract (arXiv)

Most dialog systems posit that users have figured out clear and specific goals before starting an interaction. For example, users have determined the departure, the destination, and the travel time for booking a flight. However, in many scenarios, limited by experience and knowledge, users may know what they need, but still struggle to figure out clear and specific goals by determining all the necessary slots. In this paper, we identify this challenge and make a step forward by collecting a new human-to-human mixed-type dialog corpus. It contains 5k dialog sessions and 168k utterances for 4 dialog types and 5 domains. Within each session, an agent first provides user-goal-related knowledge to help figure out clear and specific goals, and then help achieve them. Furthermore, we propose a mixed-type dialog model with a novel Prompt-based continual learning mechanism. Specifically, the mechanism enables the model to continually strengthen its ability on any specific type by utilizing existing dialog corpora effectively.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 32 of its 40 references that are in the map. First posted on arXiv 15 Apr 2022.

Builds on

32 of 40 references.

References · 32

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  2. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
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  10. 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
  11. 2019PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variablecited by 145
  12. 2020Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skillscited by 130
20 more
  1. 2020TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Trackingcited by 130
  2. 2020UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2cited by 111
  3. 2020Towards Conversational Recommendation over Multi-Type Dialogscited by 107
  4. 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
  5. 2020doc2dial: A Goal-Oriented Document-Grounded Dialogue Datasetcited by 88
  6. 2019Proactive Human-Machine Conversation with Explicit Conversation Goalscited by 87
  7. 2021Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systemscited by 73
  8. 2020CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Datasetcited by 66
  9. 2020KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversationcited by 59
  10. 2020Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Accesscited by 58
  11. 2021BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modelingcited by 55
  12. 2020Adding Chit-Chat to Enhance Task-Oriented Dialoguescited by 48
  13. 2020STAR: A Schema-Guided Dialog Dataset for Transfer Learningcited by 43
  14. 2020RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modelingcited by 40
  15. 2020ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generationcited by 39
  16. 2021NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversationcited by 35
  17. 2021Fusing task-oriented and open-domain dialogues in conversational agentscited by 28
  18. 2020Attention over Parameters for Dialogue Systemscited by 14
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 3; 2026: 1.

12 papers.

  1. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  2. 2023A Survey of the Evolution of Language Model-Based Dialogue Systems: Data, Task and Modelscited by 23
  3. 2023MidMed: Towards Mixed-Type Dialogues for Medical Consultationcited by 13
  4. 2024The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trendscited by 11
  5. 2025RETAIL: Towards Real-world Travel Planning for Large Language Modelscited by 9
  6. 2024DEMO: Reframing Dialogue Interaction with Fine-grained Element Modelingcited by 6
  7. 2025ToolSpectrum : Towards Personalized Tool Utilization for Large Language Modelscited by 6
  8. 2024STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counselingcited by 2
  9. 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systemscited by 1
  10. 2023Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systemscited by 1
  11. 2025KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpuscited by 1
  12. 2026DocOS: Towards Proactive Document-Guided Actions in GUI Agentscited by 1