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20212024
most citedA Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2024★ 1 cited

PMG : Personalized Multimodal Generation with Large Language Models

Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao +2

The emergence of large language models (LLMs) has revolutionized the capabilities of text comprehension and generation. Multi-modal generation attracts great attention from both th…

cs.IR2023★ 1 cited

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models

Rui Zhang, Yixin Su, Bayu Distiawan Trisedya +4

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…

cs.CL2023★ 6 cited

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

Xiaoyan Zhao, Yang Deng, Min Yang +6

Relation extraction (RE) involves identifying the relations between entities from underlying content. RE serves as the foundation for many natural language processing (NLP) and inf…

cs.CL2022★ 1 cited

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs

Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya +3

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…

cs.IR2021

Enhancing Top-N Item Recommendations by Peer Collaboration

Yang Sun, Fajie Yuan, Min Yang +3

Deep neural networks (DNN) have achieved great success in the recommender systems (RS) domain. However, to achieve remarkable performance, DNN-based recommender models often requir…