mlsanityData to 7 Oct 2026

AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog

arXiv 2209.03632 ↗First posted 8 Sep 2022cs.CLcited by 8

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Abstract (arXiv)

We introduce AARGH, an end-to-end task-oriented dialog system combining retrieval and generative approaches in a single model, aiming at improving dialog management and lexical diversity of outputs. The model features a new response selection method based on an action-aware training objective and a simplified single-encoder retrieval architecture which allow us to build an end-to-end retrieval-enhanced generation model where retrieval and generation share most of the parameters. On the MultiWOZ dataset, we show that our approach produces more diverse outputs while maintaining or improving state tracking and context-to-response generation performance, compared to state-of-the-art baselines.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 45 of its 63 references that are in the map. First posted on arXiv 8 Sep 2022.

Builds on

45 of 63 references.

References · 45

  1. 2017Attention Is All You Needcited by 59,932
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33 more
  1. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
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  3. 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
  4. 2020MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselinescited by 201
  5. 2020TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialoguecited by 185
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  9. 2021Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue Systemcited by 139
  10. 2015Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systemscited by 134
  11. 2019Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systemscited by 110
  12. 2021Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Groundingcited by 106
  13. 2020Text-to-Text Pre-Training for Data-to-Text Taskscited by 104
  14. 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
  15. 2019Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Contextcited by 99
  16. 2019ConveRT: Efficient and Accurate Conversational Representations from Transformerscited by 95
  17. 2018Retrieve and Refine: Improved Sequence Generation Models For Dialoguecited by 82
  18. 2017Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotationcited by 77
  19. 2020Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Accesscited by 58
  20. 2018Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memorycited by 49
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  26. 2021Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialogcited by 33
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  33. 2019Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Powercited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 4; 2025: 0; 2026: 1.

8 papers.

  1. 2023Are LLMs All You Need for Task-Oriented Dialogue?cited by 52
  2. 2024Retrieval-Enhanced Machine Learning: Synthesis and Opportunitiescited by 11
  3. 2024Chitchat as Interference: Adding User Backstories to Task-Oriented Dialoguescited by 4
  4. 2024LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systemscited by 4
  5. 2024A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modelingcited by 2
  6. 2023LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systemscited by 1
  7. 2023A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interactioncited by 0
  8. 2026An Auditable Symbolic-RAG-Generative AI Architecture for Goal-Oriented Conversation Orchestrationcited by 0

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  1. 2023Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
  2. 2021Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
  3. 2024Retrieval Augmented End-to-End Spoken Dialog Models
  4. 2025Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
  5. 2024UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems
  6. 2022Long-term Control for Dialogue Generation: Methods and Evaluation
  7. 2024The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
  8. 2024RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues