- 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
posted @
2023-08-14 19:19
鸽鸽的书房
阅读(
38)
评论()
收藏
举报