Yongwen Ren

Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models

Recent advances in pretrained language models (PLMs) have significantly improved conversational recommender systems (CRS), enabling more fluent and context-aware interactions. To further enhance accuracy and mitigate hallucination, many methods integrate PLMs with knowledge graphs (KGs), but face ke