mlsanityData to 7 Oct 2026

A Survey on Dialogue Systems: Recent Advances and New Frontiers

arXiv 1711.01731 ↗First posted 6 Nov 2017cs.CLcited by 162

Not on the map. Why?

Abstract (arXiv)

Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been employed to enhance a wide range of big data applications such as computer vision, natural language processing, and recommender systems. For dialogue systems, deep learning can leverage a massive amount of data to learn meaningful feature representations and response generation strategies, while requiring a minimum amount of hand-crafting. In this article, we give an overview to these recent advances on dialogue systems from various perspectives and discuss some possible research directions. In particular, we generally divide existing dialogue systems into task-oriented and non-task-oriented models, then detail how deep learning techniques help them with representative algorithms and finally discuss some appealing research directions that can bring the dialogue system research into a new frontier.

Key facts. Cited by 162 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Nov 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2019: 1; 2020: 0; 2021: 30; 2022: 39; 2023: 31; 2024: 34; 2025: 13; 2026: 14.

162 papers.

Sort:

By area:

  1. 2023Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Modelscited by 695
  2. 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 197
  3. 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialoguecited by 177
  4. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  5. 2023Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Modelscited by 144
  6. 2024CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluationcited by 139
  7. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  8. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  9. 2021KLUE: Korean Language Understanding Evaluationcited by 113
  10. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  11. 2022Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learningcited by 85
  12. 2022META-GUI: Towards Multi-modal Conversational Agents on Mobile GUIcited by 81
38 more
  1. 2022TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversationscited by 65
  2. 2023Rewarding Chatbots for Real-World Engagement with Millions of Userscited by 58
  3. 2025Evaluating LLM-based Agents for Multi-Turn Conversations: A Surveycited by 56
  4. 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preferencecited by 55
  5. 2021A Survey on Spoken Language Understanding: Recent Advances and New Frontierscited by 53
  6. 2022Rethinking Explainability as a Dialogue: A Practitioner's Perspectivecited by 52
  7. 2023Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Modelscited by 48
  8. 2022BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Banglacited by 40
  9. 2022A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systemscited by 32
  10. 2022Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbotscited by 31
  11. 2023A Large Language Model Enhanced Conversational Recommender Systemcited by 31
  12. 2023DialogBench: Evaluating LLMs as Human-like Dialogue Systemscited by 31
  13. 2021Semi-Supervised Variational Reasoning for Medical Dialogue Generationcited by 30
  14. 2021Commonsense-Focused Dialogues for Response Generation: An Empirical Studycited by 30
  15. 2022A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learningcited by 30
  16. 2021Slot Self-Attentive Dialogue State Trackingcited by 27
  17. 2021Effectiveness of Pre-training for Few-shot Intent Classificationcited by 27
  18. 2024Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLMcited by 26
  19. 2024Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspectivecited by 24
  20. 2021Amendable Generation for Dialogue State Trackingcited by 21
  21. 2021Structural Pre-training for Dialogue Comprehensioncited by 20
  22. 2021ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialoguescited by 20
  23. 2022User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systemscited by 20
  24. 2022WeLM: A Well-Read Pre-trained Language Model for Chinesecited by 19
  25. 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systemscited by 19
  26. 2025LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversationcited by 19
  27. 2023End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directionscited by 17
  28. 2024Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integrationcited by 17
  29. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  30. 2024DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Modelscited by 15
  31. 2024CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialoguescited by 15
  32. 2022Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunitiescited by 14
  33. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  34. 2023Leveraging Implicit Feedback from Deployment Data in Dialoguecited by 14
  35. 2021Automatic Intent-Slot Induction for Dialogue Systemscited by 13
  36. 2021Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehensioncited by 13
  37. 2024Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Studycited by 13
  38. 2024PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systemscited by 13

50 most cited of 162 All 162 (JSON)