mlsanityData to 7 Oct 2026

Dataflow Dialogue Generation

arXiv 2308.02323 ↗First posted 4 Aug 2023cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

We demonstrate task-oriented dialogue generation within the dataflow dialogue paradigm. We show an example of agenda driven dialogue generation for the MultiWOZ domain, and an example of generation without an agenda for the SMCalFlow domain, where we show an improvement in the accuracy of the translation of user requests to dataflow expressions when the generated dialogues are used to augment the translation training dataset.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 13 references that are in the map. First posted on arXiv 4 Aug 2023.

Builds on

11 of 13 references.

References · 11

  1. 2022Scaling Instruction-Finetuned Language Modelscited by 2,997
  2. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  3. 2020AdapterHub: A Framework for Adapting Transformerscited by 441
  4. 2017OpenNMT: Open-source Toolkit for Neural Machine Translationcited by 251
  5. 2016A Persona-Based Neural Conversation Modelcited by 221
  6. 2020Task-Oriented Dialogue as Dataflow Synthesiscited by 122
  7. 2021Transferable Dialogue Systems and User Simulatorscited by 35
  8. 2022Unobserved Local Structures Make Compositional Generalization Hardcited by 29
  9. 2022Simplifying Semantic Annotations of SMCalFlowcited by 7
  10. 2022The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decodingcited by 7
  11. 2022MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ datasetcited by 1

Built on by

Not cited yet.