REDIAL
Emerging13papers using it
2021first seen
Dataset Card for ReDIAL Dataset Summary This is an adapted version of the original redial dataset, for supporting different tasks in our project RecBot. The redial dataset provides over 10,000 conversations centered around movie recommendations. It was released in the paper "Towards Deep Conversational Recommendations"
Papers using REDIAL (13)
- RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational RecommendersCollaborative Retrieval for Large Language Model-based Conversational Recommender SystemsHARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational RecommendationOn the Reliability of User-Centric Evaluation of Conversational Recommender SystemsImproving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based RerankingLumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender SystemsImproving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data AugmentationImproving Conversational Recommender System via Contextual and
Time-Aware Modeling with Less Domain-Specific KnowledgeInstruction Distillation Makes Large Language Models Efficient Zero-shot RankersCategory Aware Explainable Conversational RecommendationModeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender SystemMulti-Task End-to-End Training Improves Conversational RecommendationImproving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information