Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
On the map: Retrieval-augmented generation → Conversational and speech RAG
Abstract (arXiv)
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks. In this paper we present a transformer-based model for multi-turn dialog response generation. Our solution is based on a hybrid approach which augments a transformer-based generative model with a novel retrieval mechanism, which leverages the memorized information in the training data via k-Nearest Neighbor search. Our system is evaluated on two datasets made by customer/assistant dialogs: the Taskmaster-1, released by Google and holding high quality, goal-oriented conversational data and a proprietary dataset collected from a real customer service call center. Both achieve better BLEU scores over strong baselines.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Placed in Conversational and speech RAG, one of 15 directions in Retrieval-augmented generation. Builds on 16 of its 16 references that are in the map. First posted on arXiv 19 May 2021.
Builds on
16 of 16 references.
References · 16
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
- 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
- 2017Billion-scale similarity search with GPUscited by 2,477
- 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
- 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,830
- 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
- 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
- 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
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- 2015Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Modelscited by 207
- 2015A Neural Conversational Modelcited by 195
4 more
- 2019TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agentscited by 188
- 2019Taskmaster-1: Toward a Realistic and Diverse Dialog Datasetcited by 139
- 2017Hierarchical Recurrent Attention Network for Response Generationcited by 34
- 2016Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generationcited by 16
Built on by
Citing papers per year: 2022: 2; 2023: 1; 2024: 3; 2025: 1.
7 papers.
- 2024Retrieval-Augmented Diffusion Models for Time Series Forecastingcited by 35
- 2024Accelerating Retrieval-Augmented Generationcited by 14
- 2022MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentationcited by 9
- 2022Semi-Parametric Inducing Point Networks and Neural Processescited by 6
- 2024RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecastingcited by 2
- 2023Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoringcited by 1
- 2025LLM-Based Insight Extraction for Contact Center Analytics and Cost-Efficient Deploymentcited by 1
- 2025LLM-Based Insight Extraction for Contact Center Analytics and Cost-Efficient Deployment24 Mar 2025
- 2024Accelerating Retrieval-Augmented Generation14 Dec 2024
- 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting24 Oct 2024
- 2024RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting7 Mar 2024
- 2023Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring20 Oct 2023
- 2022MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation21 Jul 2022
- 2022Semi-Parametric Inducing Point Networks and Neural Processes24 May 2022
Similar, not cited
Close in wording, no citation either way
- 2022AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
- 2021Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog
- 2024Retrieval Augmented End-to-End Spoken Dialog Models
- 2022A Survey on Retrieval-Augmented Text Generation
- 2025Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
- 2022Logical Reasoning for Task Oriented Dialogue Systems
- 2026Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment
- 2022KGI: An Integrated Framework for Knowledge Intensive Language Tasks