mlsanityData to 7 Oct 2026

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

arXiv 2308.11995 ↗First posted 23 Aug 2023cs.CL cs.AIcited by 88

Not on the map. Why?

Abstract (arXiv)

Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artificial intelligence (AI). To this end, bots need to be able to leverage world knowledge spanning several domains effectively when conversing with humans who have their own world knowledge. Existing knowledge-grounded conversation datasets are primarily stylized with explicit roles for conversation partners. These datasets also do not explore depth or breadth of topical coverage with transitions in conversations. We introduce Topical-Chat, a knowledge-grounded human-human conversation dataset where the underlying knowledge spans 8 broad topics and conversation partners don't have explicitly defined roles, to help further research in open-domain conversational AI. We also train several state-of-the-art encoder-decoder conversational models on Topical-Chat and perform automated and human evaluation for benchmarking.

Key facts. Cited by 88 papers in the map (data through 7 Oct 2026). Builds on 13 of its 21 references that are in the map. First posted on arXiv 23 Aug 2023.

Builds on

13 of 21 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
  3. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
  4. 2018Wizard of Wikipedia: Knowledge-Powered Conversational agentscited by 530
  5. 2017Deal or No Deal? End-to-End Learning for Negotiation Dialoguescited by 202
  6. 2015A Neural Conversational Modelcited by 195
  7. 2019What makes a good conversation? How controllable attributes affect human judgmentscited by 140
  8. 2017ParlAI: A Dialog Research Software Platformcited by 139
  9. 2017A Knowledge-Grounded Neural Conversation Modelcited by 136
  10. 2018A Dataset for Document Grounded Conversationscited by 104
  11. 2018Towards Exploiting Background Knowledge for Building Conversation Systemscited by 57
  12. 2018Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prizecited by 29
1 more
  1. 2016Dialog-based Language Learningcited by 21

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 12; 2024: 40; 2025: 24; 2026: 12.

88 papers.

Sort:

By area:

  1. 2024LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methodscited by 451
  2. 2024LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Taskscited by 236
  3. 2024Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessmentcited by 117
  4. 2024CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistscited by 87
  5. 2023EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteriacited by 73
  6. 2025Evaluating LLM-based Agents for Multi-Turn Conversations: A Surveycited by 56
  7. 2024Designing a Dashboard for Transparency and Control of Conversational AIcited by 43
  8. 2025Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneitycited by 43
  9. 2024Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversationcited by 40
  10. 2024Leveraging Large Language Models for NLG Evaluation: Advances and Challengescited by 37
  11. 2024PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answeringcited by 34
  12. 2024Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructionscited by 34
38 more
  1. 2024HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decompositioncited by 33
  2. 2023X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspectscited by 28
  3. 2024A Survey on Recent Advances in Conversational Data Generationcited by 23
  4. 2023Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignmentcited by 19
  5. 2024Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretabilitycited by 19
  6. 2023A Closer Look into Automatic Evaluation Using Large Language Modelscited by 17
  7. 2025Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performancecited by 17
  8. 2025When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMscited by 16
  9. 2024LLM Roleplay: Simulating Human-Chatbot Interactioncited by 15
  10. 2024PairEval: Open-domain Dialogue Evaluation with Pairwise Comparisoncited by 11
  11. 2024SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluationcited by 11
  12. 2025A Scalable Framework for Evaluating Health Language Modelscited by 11
  13. 2024On the Benchmarking of LLMs for Open-Domain Dialogue Evaluationcited by 10
  14. 2024Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMscited by 10
  15. 2023textitDial BeInfo for Faithfulness: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuningcited by 9
  16. 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Lossescited by 9
  17. 2023Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarizationcited by 7
  18. 2024A Survey of Automatic Hallucination Evaluation on Natural Language Generationcited by 7
  19. 2024Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialoguecited by 7
  20. 2025Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Modelscited by 7
  21. 2024Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcriptscited by 6
  22. 2025RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practicecited by 6
  23. 2025Evaluating Evaluation Metrics -- The Mirage of Hallucination Detectioncited by 6
  24. 2023Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generationcited by 5
  25. 2024Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responsescited by 5
  26. 2025HPSS: Heuristic Prompting Strategy Search for LLM Evaluatorscited by 5
  27. 2026JEV vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Placescited by 5
  28. 2024Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuningcited by 4
  29. 2025CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMscited by 4
  30. 2025OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMscited by 4
  31. 2025Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romaniancited by 4
  32. 2026Belief in Authority: Impact of Authority in Multi-Agent Evaluation Frameworkcited by 4
  33. 2023UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Promptcited by 3
  34. 2023Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Userscited by 3
  35. 2024A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generationcited by 3
  36. 2024ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmarkcited by 3
  37. 2024Large Language Models for Automatic Detection of Sensitive Topicscited by 3
  38. 2024From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialoguescited by 3

50 most cited of 88 All 88 (JSON)