mlsanityData to 14 Oct 2026

TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling

arXiv 2109.04562 ↗First posted 9 Sep 2021cs.CLcited by 22

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Abstract (arXiv)

Human conversations naturally evolve around different topics and fluently move between them. In research on dialog systems, the ability to actively and smoothly transition to new topics is often ignored. In this paper we introduce TIAGE, a new topic-shift aware dialog benchmark constructed utilizing human annotations on topic shifts. Based on TIAGE, we introduce three tasks to investigate different scenarios of topic-shift modeling in dialog settings: topic-shift detection, topic-shift triggered response generation and topic-aware dialog generation. Experiments on these tasks show that the topic-shift signals in TIAGE are useful for topic-shift response generation. On the other hand, dialog systems still struggle to decide when to change topic. This indicates further research is needed in topic-shift aware dialog modeling.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). Builds on 16 of its 32 references that are in the map. First posted on arXiv 9 Sep 2021.

Builds on

16 of 32 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  4. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  5. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 828
  6. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 766
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  9. 2019Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphscited by 59
  10. 2018Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systemscited by 53
  11. 2019SECTOR: A Neural Model for Coherent Topic Segmentation and Classificationcited by 48
  12. 2019Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systemscited by 42
4 more
  1. 2020Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentationcited by 41
  2. 2019Improving Robustness of Task Oriented Dialog Systemscited by 15
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 6; 2024: 5; 2025: 6; 2026: 3.

22 papers.

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  1. 2025On Memory Construction and Retrieval for Personalized Conversational Agentscited by 105
  2. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  3. 2022Neural Approaches to Conversational Information Retrievalcited by 42
  4. 2023Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Studycited by 24
  5. 2024LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational Historycited by 19
  6. 2023Mind the Gap Between Conversations for Improved Long-Term Dialogue Generationcited by 13
  7. 2023SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentationcited by 10
  8. 2023Multi-Granularity Prompts for Topic Shift Detection in Dialoguecited by 6
  9. 2024Recent Trends in Linear Text Segmentation: a Surveycited by 6
  10. 2024Taking a turn for the better: Conversation redirection throughout the course of mental-health therapycited by 5
  11. 2023Topic Shift Detection in Chinese Dialogues: Corpus and Benchmarkcited by 4
  12. 2024MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphscited by 4
10 more
  1. 2026ES-Mem: Event Segmentation-Based Memory for Long-Term Dialogue Agentscited by 4
  2. 2024Unsupervised Mutual Learning of Discourse Parsing and Topic Segmentation in Dialoguecited by 3
  3. 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attentioncited by 2
  4. 2025Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialoguecited by 2
  5. 2025PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrievalcited by 2
  6. 2022Reinforced Approximate Exploratory Data Analysiscited by 1
  7. 2025When F1 Fails: Granularity-Aware Evaluation for Dialogue Topic Segmentationcited by 1
  8. 2025DASH: Dialogue-Aware Similarity and Handshake Recognition for Topic Segmentation in Public-Channel Conversationscited by 0
  9. 2026Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMscited by 0
  10. 2026CobSeg: Coherence Boundary Modeling for Dialogue Topic Segmentationcited by 0