3 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
Qiyao Peng, Chen Wang, Yinghui Wang +3
Reviewer recommendation is a critical task for enhancing the efficiency of academic publishing workflows. However, research in this area has been persistently hindered by the lack…
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng, Hongtao Liu, Hua Huang +2
Recommender systems are essential components of many online platforms, yet traditional approaches still struggle with understanding complex user preferences and providing explainab…
ULMRec: User-centric Large Language Model for Sequential Recommendation
Minglai Shao, Hua Huang, Qiyao Peng +1
Recent advances in Large Language Models (LLMs) have demonstrated promising performance in sequential recommendation tasks, leveraging their superior language understanding capabil…
PEPT: Expert Finding Meets Personalized Pre-training
Qiyao Peng, Hongyan Xu, Yinghui Wang +3
Finding experts is essential in Community Question Answering (CQA) platforms as it enables the effective routing of questions to potential users who can provide relevant answers. T…