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Hengchang Hu

4 accepted papers

2025

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation

NeurIPS 2025poster

Integrating large language models (LLMs) into recommender systems has created new opportunities for improving recommendation quality. However, a comprehensive benchmark is needed to thoroughly evaluate and compare the recommendation capabilities of LLMs with traditional recommender systems. In this…

Cited by 0SourcecodeScholar
2025

ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems

NAACL 2025findings

This paper aims to efficiently enable large language models (LLMs) to use external knowledge and goal guidance in conversational recommender system (CRS) tasks. Advanced LLMs (e.g., ChatGPT) are limited in domain-specific CRS tasks for 1) generating grounded responses with recommendation-oriented kn…

Cited by 13SourcePDFScholar
2021

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

EMNLP 2021finding

News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on mental health or gun regulation, while others may emphasize the discussion of gun rights. Such perspectives are called “…

Cited by 21SourcePDFScholar