mlsanityData to 14 Oct 2026

Proactive User Information Acquisition via Chats on User-Favored Topics

arXiv 2504.07698 ↗First posted 10 Apr 2025cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

Chat-oriented dialogue systems designed to provide tangible benefits, such as sharing the latest news or preventing frailty in senior citizens, often require Proactive acquisition of specific user Information via chats on user-faVOred Topics (PIVOT). This study proposes the PIVOT task, designed to advance the technical foundation for these systems. In this task, a system needs to acquire the answers of a user to predefined questions without making the user feel abrupt while engaging in a chat on a predefined topic. We found that even recent large language models (LLMs) show a low success rate in the PIVOT task. We constructed a dataset suitable for the analysis to develop more effective systems. Finally, we developed a simple but effective system for this task by incorporating insights obtained through the analysis of this dataset.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 36 references that are in the map. First posted on arXiv 10 Apr 2025.

Builds on

13 of 36 references.

References · 13

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,442
  3. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,224
  4. 2018Wizard of Wikipedia: Knowledge-Powered Conversational agentscited by 530
  5. 2019The Second Conversational Intelligence Challenge (ConvAI2)cited by 179
  6. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  7. 2017A Survey on Dialogue Systems: Recent Advances and New Frontierscited by 162
  8. 2023Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationcited by 116
  9. 2019Proactive Human-Machine Conversation with Explicit Conversation Goalscited by 88
  10. 2019Target-Guided Open-Domain Conversationcited by 66
  11. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  12. 2019End-to-End Trainable Non-Collaborative Dialog Systemcited by 19
1 more
  1. 2023NewsDialogues: Towards Proactive News Grounded Conversationcited by 5

Built on by

Not cited yet.