most citedChat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

69 citations · 84 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 12 cited

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Jiawei Zhang

In this paper, we aim to develop a large language model (LLM) with the reasoning ability on complex graph data. Currently, LLMs have achieved very impressive performance on various…

cs.IR2023★ 69 cited

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Yunfan Gao, Tao Sheng, Youlin Xiang +3

Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue…

cs.CV2022

Mutimodal Ranking Optimization for Heterogeneous Face Re-identification

Hui Hu, Jiawei Zhang, Zhen Han

Heterogeneous face re-identification, namely matching heterogeneous faces across disjoint visible light (VIS) and near-infrared (NIR) cameras, has become an important problem in vi…

cs.LG2022

Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning

Jiawei Zhang

Brain graph representation learning serves as the fundamental technique for brain diseases diagnosis. Great efforts from both the academic and industrial communities have been devo…

cs.CV2022★ 3 cited

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Jiawei Zhang, Xiang Wang, Xiao Bai +7

Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains. We…