14 citations · 14 across the 3 of their papers we have counts for
3 papers
math.OC2024
WANCO: Weak Adversarial Networks for Constrained Optimization problems
Gang Bao, Dong Wang, Boyi Zou
This paper focuses on integrating the networks and adversarial training into constrained optimization problems to develop a framework algorithm for constrained optimization problem…
cs.IR2023★ 14 cited
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira +2
Recently, large language models (LLMs) have exhibited significant progress in language understanding and generation. By leveraging textual features, customized LLMs are also applie…
cs.CL2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
Dong Wang, Kavé Salamatian, Yunqing Xia +2
Although deep pre-trained language models have shown promising benefit in a large set of industrial scenarios, including Click-Through-Rate (CTR) prediction, how to integrate pre-t…