mlsanityData to 14 Oct 2026

Neural Approaches to Conversational AI

arXiv 1809.08267 ↗First posted 21 Sep 2018cs.CLcited by 165

Not on the map. Why?

Abstract (arXiv)

The present paper surveys neural approaches to conversational AI that have been developed in the last few years. We group conversational systems into three categories: (1) question answering agents, (2) task-oriented dialogue agents, and (3) chatbots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between them and traditional approaches, and discuss the progress that has been made and challenges still being faced, using specific systems and models as case studies.

Key facts. Cited by 165 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Sep 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2018: 2; 2019: 0; 2020: 0; 2021: 47; 2022: 45; 2023: 36; 2024: 13; 2025: 17; 2026: 5.

165 papers.

Sort:

By area:

  1. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
  2. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,395
  3. 2021Large Language Models Can Be Strong Differentially Private Learnerscited by 412
  4. 2023Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedbackcited by 353
  5. 2018Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigationcited by 305
  6. 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 198
  7. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  8. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  9. 2025CollabLLM: From Passive Responders to Active Collaboratorscited by 124
  10. 2022Vision-Language Pre-training: Basics, Recent Advances, and Future Trendscited by 117
  11. 2022The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systemscited by 93
  12. 2021Anticipating Safety Issues in E2E Conversational AI: Framework and Toolingcited by 78
38 more
  1. 2022TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversationscited by 66
  2. 2022DialFRED: Dialogue-Enabled Agents for Embodied Instruction Followingcited by 63
  3. 2022MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversationcited by 56
  4. 2022Rethinking Explainability as a Dialogue: A Practitioner's Perspectivecited by 52
  5. 2022GODEL: Large-Scale Pre-Training for Goal-Directed Dialogcited by 51
  6. 2023MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journalingcited by 50
  7. 2023Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Modelscited by 48
  8. 2021UnitedQA: A Hybrid Approach for Open Domain Question Answeringcited by 42
  9. 2022Neural Approaches to Conversational Information Retrievalcited by 42
  10. 2021PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generationcited by 37
  11. 2021NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversationcited by 35
  12. 2022CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learningcited by 34
  13. 2021Defending Against Backdoor Attacks in Natural Language Generationcited by 33
  14. 2022Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbotscited by 33
  15. 2025LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospectscited by 32
  16. 2021Survey on reinforcement learning for language processingcited by 31
  17. 2021Conversational Question Answering: A Surveycited by 31
  18. 2022InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERcited by 31
  19. 2023A Large Language Model Enhanced Conversational Recommender Systemcited by 31
  20. 2022A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learningcited by 30
  21. 2021OTTers: One-turn Topic Transitions for Open-Domain Dialoguecited by 29
  22. 2021Self-supervised Dialogue Learning for Spoken Conversational Question Answeringcited by 28
  23. 2021Slot Self-Attentive Dialogue State Trackingcited by 27
  24. 2024Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunicationscited by 26
  25. 2021A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLPcited by 25
  26. 2021Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networkscited by 24
  27. 2021Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detectioncited by 22
  28. 2021DS-TOD: Efficient Domain Specialization for Task Oriented Dialogcited by 21
  29. 2021Virtual Augmentation Supported Contrastive Learning of Sentence Representationscited by 21
  30. 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systemscited by 19
  31. 2024CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Modelscited by 19
  32. 2022Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusioncited by 18
  33. 2021A Survey on Deep Reinforcement Learning for Audio-Based Applicationscited by 17
  34. 2021AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentationcited by 17
  35. 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
  36. 2022Multimodal Conversational AI: A Survey of Datasets and Approachescited by 16
  37. 2023Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interactioncited by 16
  38. 2021LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matchingcited by 15

50 most cited of 165 All 165 (JSON)