参考文献列表:Mixed-type conversation

  • Towards Topic-Guided Conversational Recommender System
  • RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models
  • RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning
  • CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
  • User-Centric Conversational Recommendation with Multi-Aspect User Modeling
  • CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
  • Deep Reinforcement Learning for Sequence-to-Sequence Models
  • COLING例子:https://aclanthology.org/2022.coling-1.55.pdf
  • Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
  • Target-Guided Open-Domain Conversation Planning
  • Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
    https://arxiv.org/pdf/2206.09363.pdf
  • X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
    https://arxiv.org/pdf/2109.03560.pdf
  • Contrastive Learning as Goal-Conditioned Reinforcement Learning
    https://arxiv.org/pdf/2206.07568.pdf
  • Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
    https://arxiv.org/pdf/1802.09464.pdf
  • C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
    https://arxiv.org/pdf/2206.07568.pdf
  • Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
    https://arxiv.org/pdf/1812.03509.pdf
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