mlsanityData to 14 Oct 2026

Target-Guided Open-Domain Conversation Planning

arXiv 2209.09746 ↗First posted 20 Sep 2022cs.CLcited by 8

Not on the map. Why?

Abstract (arXiv)

Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents, namely, planning. In this study, we propose the task of Target-Guided Open-Domain Conversation Planning (TGCP) task to evaluate whether neural conversational agents have goal-oriented conversation planning abilities. Using the TGCP task, we investigate the conversation planning abilities of existing retrieval models and recent strong generative models. The experimental results reveal the challenges facing current technology.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 18 of its 38 references that are in the map. First posted on arXiv 20 Sep 2022.

Builds on

18 of 38 references.

References · 18

  1. 2022LaMDA: Language Models for Dialog Applicationscited by 1,220
  2. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  3. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  4. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 828
  5. 2020Recipes for building an open-domain chatbotcited by 593
  6. 2020Towards a Human-like Open-Domain Chatbotcited by 470
  7. 2016A Persona-Based Neural Conversation Modelcited by 223
  8. 2020Knowledge-Grounded Dialogue Generation with Pre-trained Language Modelscited by 107
  9. 2016Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbotscited by 103
  10. 2019Proactive Human-Machine Conversation with Explicit Conversation Goalscited by 88
  11. 2019Target-Guided Open-Domain Conversationcited by 66
  12. 2020Towards Persona-Based Empathetic Conversational Modelscited by 53
6 more
  1. 2020Keyword-Guided Neural Conversational Modelcited by 21
  2. 2020Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversationcited by 15
  3. 2021Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goalscited by 9
  4. 2019Generating Dialogue Agents via Automated Planningcited by 4
  5. 2019Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Abilitycited by 3
  6. 2019Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agentcited by 1

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 3; 2024: 3; 2025: 1.

8 papers.

  1. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  2. 2023Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialoguecited by 14
  3. 2024ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agentscited by 12
  4. 2025Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational Historycited by 10
  5. 2022Enhancing Task Bot Engagement with Synthesized Open-Domain Dialogcited by 5
  6. 2024Redefining Proactivity for Information Seeking Dialoguecited by 4
  7. 2023Data Augmentation for Conversational AIcited by 3
  8. 2024Personalized Topic Selection Model for Topic-Grounded Dialoguecited by 1