mlsanityData to 14 Oct 2026

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

arXiv 1506.06714 ↗First posted 22 Jun 2015cs.CL cs.AI cs.LGcited by 98

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Abstract (arXiv)

We present a novel response generation system that can be trained end to end on large quantities of unstructured Twitter conversations. A neural network architecture is used to address sparsity issues that arise when integrating contextual information into classic statistical models, allowing the system to take into account previous dialog utterances. Our dynamic-context generative models show consistent gains over both context-sensitive and non-context-sensitive Machine Translation and Information Retrieval baselines.

Key facts. Cited by 98 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jun 2015.

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Citing papers per year: 2018: 1; 2019: 1; 2020: 0; 2021: 36; 2022: 34; 2023: 15; 2024: 6; 2025: 5.

98 papers.

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  1. 2022LaMDA: Language Models for Dialog Applicationscited by 1,220
  2. 2022Measuring and Narrowing the Compositionality Gap in Language Modelscited by 1,075
  3. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 208
  4. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  5. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  6. 2021Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Groundingcited by 106
  7. 2022The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systemscited by 93
  8. 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 90
  9. 2023Rewarding Chatbots for Real-World Engagement with Millions of Userscited by 59
  10. 2025Evaluating LLM-based Agents for Multi-Turn Conversations: A Surveycited by 57
  11. 2022MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversationcited by 56
  12. 2021Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speechcited by 42
38 more
  1. 2021One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profilescited by 39
  2. 2021MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Educationcited by 37
  3. 2021Commonsense-Focused Dialogues for Response Generation: An Empirical Studycited by 30
  4. 2021Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generationcited by 26
  5. 2022A Literature Survey of Recent Advances in Chatbotscited by 26
  6. 2022CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AIcited by 26
  7. 2024Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agentscited by 26
  8. 2021DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialoguescited by 25
  9. 2018Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learningcited by 21
  10. 2021Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interactioncited by 21
  11. 2021Maria: A Visual Experience Powered Conversational Agentcited by 19
  12. 2021Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoderscited by 18
  13. 2024GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agencycited by 18
  14. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 17
  15. 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
  16. 2022Multimodal Conversational AI: A Survey of Datasets and Approachescited by 16
  17. 2022Measuring and Improving Semantic Diversity of Dialogue Generationcited by 16
  18. 2021Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbotscited by 14
  19. 2021Probing Commonsense Explanation in Dialogue Response Generationcited by 13
  20. 2021Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Trainingcited by 13
  21. 2021Empowering NGOs in Countering Online Hate Messagescited by 13
  22. 2021Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Descriptioncited by 12
  23. 2022KETOD: Knowledge-Enriched Task-Oriented Dialoguecited by 12
  24. 2023Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillationcited by 11
  25. 2022Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systemscited by 10
  26. 2021Sketch and Customize: A Counterfactual Story Generatorcited by 9
  27. 2022TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledgecited by 9
  28. 2025OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarioscited by 9
  29. 2021Conversational Semantic Role Labelingcited by 8
  30. 2021Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generationcited by 8
  31. 2021Capturing Structural Locality in Non-parametric Language Modelscited by 8
  32. 2023You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Personacited by 8
  33. 2023Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendationscited by 8
  34. 2022The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decodingcited by 7
  35. 2023TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real Worldcited by 7
  36. 2021Meta-evaluation of Conversational Search Evaluation Metricscited by 6
  37. 2021Conversational Query Rewriting with Self-supervised Learningcited by 5
  38. 2021Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillationcited by 5

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