351 citations · 434 across the 12 of their papers we have counts for
5 papers · 1 filter
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
Yuting Liu, Jinghao Zhang, Yizhou Dang +5
Involving collaborative information in Large Language Models (LLMs) is a promising technique for adapting LLMs for recommendation. Existing methods achieve this by concatenating co…
Modality-Balanced Learning for Multimedia Recommendation
Jinghao Zhang, Guofan Liu, Qiang Liu +2
Many recommender models have been proposed to investigate how to incorporate multimodal content information into traditional collaborative filtering framework effectively. The use…
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization
Huanhuan Ma, Jinghao Zhang, Qiang Liu +2
The rapid spread of information through mobile devices and media has led to the widespread of false or deceptive news, causing significant concerns in society. Among different type…
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang, Yuting Liu, Qiang Liu +3
Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS). However, while these systems have flourished, the…
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
Junfei Wu, Qiang Liu, Ding Wang +4
Object hallucination has been an Achilles' heel which hinders the broader applications of large vision-language models (LVLMs). Object hallucination refers to the phenomenon that t…