mlsanityData to 7 Oct 2026

ParlAI: A Dialog Research Software Platform

arXiv 1705.06476 ↗First posted 18 May 2017cs.CLcited by 139

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Abstract (arXiv)

We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl.ai. Its goal is to provide a unified framework for sharing, training and testing of dialog models, integration of Amazon Mechanical Turk for data collection, human evaluation, and online/reinforcement learning; and a repository of machine learning models for comparing with others' models, and improving upon existing architectures. Over 20 tasks are supported in the first release, including popular datasets such as SQuAD, bAbI tasks, MCTest, WikiQA, QACNN, QADailyMail, CBT, bAbI Dialog, Ubuntu, OpenSubtitles and VQA. Several models are integrated, including neural models such as memory networks, seq2seq and attentive LSTMs.

Key facts. Cited by 139 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 May 2017.

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Citing papers per year: 2021: 35; 2022: 36; 2023: 41; 2024: 15; 2025: 9; 2026: 3.

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  1. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  2. 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 197
  3. 2022"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Datasetcited by 160
  4. 2021Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answeringcited by 131
  5. 2022ProsocialDialog: A Prosocial Backbone for Conversational Agentscited by 109
  6. 2023Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversationscited by 88
  7. 2023Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicitycited by 86
  8. 2022The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialoguescited by 78
  9. 2021On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmarkcited by 73
  10. 2022RankGen: Improving Text Generation with Large Ranking Modelscited by 72
  11. 2021CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systemscited by 60
  12. 2022Perturbation Augmentation for Fairer NLPcited by 51
38 more
  1. 2023Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversationscited by 47
  2. 2024The Oscars of AI Theater: A Survey on Role-Playing with Language Modelscited by 47
  3. 2023Faithful Persona-based Conversational Dataset Generation with Large Language Modelscited by 45
  4. 2021Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causescited by 43
  5. 2023Using In-Context Learning to Improve Dialogue Safetycited by 41
  6. 2022The CRINGE Loss: Learning what language not to modelcited by 39
  7. 2021TWEAC: Transformer with Extendable QA Agent Classifierscited by 37
  8. 2021Factual Consistency Evaluation for Text Summarization via Counterfactual Estimationcited by 37
  9. 2021SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failurescited by 37
  10. 2023Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systemscited by 37
  11. 2021Revealing Persona Biases in Dialogue Systemscited by 33
  12. 2023Opportunities and Challenges in Neural Dialog Tutoringcited by 33
  13. 2021Reason first, then respond: Modular Generation for Knowledge-infused Dialoguecited by 32
  14. 2023Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AIcited by 32
  15. 2021Conversational Question Answering: A Surveycited by 31
  16. 2022Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbotscited by 31
  17. 2023ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writingcited by 31
  18. 2023Query-Efficient Black-Box Red Teaming via Bayesian Optimizationcited by 31
  19. 2023Training Models to Generate, Recognize, and Reframe Unhelpful Thoughtscited by 31
  20. 2023A Large Language Model Enhanced Conversational Recommender Systemcited by 31
  21. 2023Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Modelscited by 30
  22. 2022Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deploymentcited by 25
  23. 2022Scalable Interpretability via Polynomialscited by 25
  24. 2023Zero-Shot Robustification of Zero-Shot Modelscited by 24
  25. 2021Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identitycited by 22
  26. 2022Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Qualitycited by 22
  27. 2022ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Formatcited by 22
  28. 2023DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIcited by 21
  29. 2025When Large Language Models are Reliable for Judging Empathic Communicationcited by 21
  30. 2022COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personascited by 20
  31. 2021A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generationcited by 19
  32. 2021Ditch the Gold Standard: Re-evaluating Conversational Question Answeringcited by 19
  33. 2022DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Datasetcited by 17
  34. 2021Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approachcited by 16
  35. 2021Assessing Dialogue Systems with Distribution Distancescited by 16
  36. 2022SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialoguescited by 16
  37. 2022Measuring and Improving Semantic Diversity of Dialogue Generationcited by 16
  38. 2021TextBox: A Unified, Modularized, and Extensible Framework for Text Generationcited by 15

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