mlsanityData to 14 Oct 2026

ConvLab: Multi-Domain End-to-End Dialog System Platform

arXiv 1904.08637 ↗First posted 18 Apr 2019cs.CL cs.AIcited by 29

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Abstract (arXiv)

We present ConvLab, an open-source multi-domain end-to-end dialog system platform, that enables researchers to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to end-to-end neural models, in common environments. ConvLab offers a set of fully annotated datasets and associated pre-trained reference models. As a showcase, we extend the MultiWOZ dataset with user dialog act annotations to train all component models and demonstrate how ConvLab makes it easy and effortless to conduct complicated experiments in multi-domain end-to-end dialog settings.

Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Apr 2019.

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Citing papers per year: 2021: 11; 2022: 7; 2023: 5; 2024: 4; 2025: 0; 2026: 2.

29 papers.

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  1. 2024ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLcited by 228
  2. 2021Trustworthy AI: From Principles to Practicescited by 207
  3. 2021Transferable Dialogue Systems and User Simulatorscited by 36
  4. 2021CRSLab: An Open-Source Toolkit for Building Conversational Recommender Systemcited by 34
  5. 2021Annotation Inconsistency and Entity Bias in MultiWOZcited by 30
  6. 2022Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021cited by 23
  7. 2022ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Formatcited by 22
  8. 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
  9. 2021NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environmentcited by 15
  10. 2022Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulatorcited by 15
  11. 2021Task-Oriented Dialogue System as Natural Language Generationcited by 14
  12. 2021DEUS: A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialoguescited by 7
17 more
  1. 2021Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Managementcited by 6
  2. 2024Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptabilitycited by 6
  3. 2022OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialoguecited by 4
  4. 2022An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertaintycited by 3
  5. 2023Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schemacited by 3
  6. 2024Unsupervised Extraction of Dialogue Policies from Conversationscited by 3
  7. 2021How to Evaluate Your Dialogue Models: A Review of Approachescited by 2
  8. 2022A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systemscited by 1
  9. 2023Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generationcited by 1
  10. 2024DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Modelscited by 1
  11. 2026ShiJianBench: From Dialogue to Decision for Long-Horizon Evaluation of Investment Advisorscited by 1
  12. 2021Every time I fire a conversational designer, the performance of the dialog system goes downcited by 0
  13. 2022Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answeringcited by 0
  14. 2023JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learningcited by 0
  15. 2023Dialog Action-Aware Transformer for Dialog Policy Learningcited by 0
  16. 2023Improving Dialogue Management: Quality Datasets vs Modelscited by 0
  17. 2026Orcheo: A Modular Full-Stack Platform for Conversational Searchcited by 0