SOTAVerified

Conversational Recommendation

Papers

Showing 125 of 140 papers

TitleStatusHype
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender SystemsCode2
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender SystemsCode2
RevCore: Review-augmented Conversational RecommendationCode1
Towards Conversational Recommendation over Multi-Type DialogsCode1
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement LearningCode1
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational RecommendationCode1
Large Language Models as Zero-Shot Conversational RecommendersCode1
MConv: An Environment for Multimodal Conversational Search across Multiple DomainsCode1
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User InterfaceCode1
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language ModelsCode1
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start UsersCode1
Improving Conversational Recommendation Systems via Counterfactual Data SimulationCode1
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational RecommendationCode1
Empowering Retrieval-based Conversational Recommendation with Contrasting User PreferencesCode1
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta InformationCode1
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational RecommendationCode1
Bundle MCR: Towards Conversational Bundle RecommendationCode1
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational RecommendationCode1
Chain-of-Choice Hierarchical Policy Learning for Conversational RecommendationCode1
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender SystemsCode1
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated DistributionsCode1
Towards Topic-Guided Conversational Recommender SystemCode1
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