1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026★ 1 cited
SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News Detection
Ziyu Luo, Wei Li, Haoping Huang +2
Fake news detection under low resource conditions is challenged by the scarcity of labeled data and the difficulty of capturing subtle deceptive patterns. In this work, we focus on…
cs.IR2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing
Yinqiu Huang, Shuli Wang, Min Gao +6
Uplift modeling, vital in online marketing, seeks to accurately measure the impact of various strategies, such as coupons or discounts, on different users by predicting the Individ…
cs.IR2024
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
Hao Liu, Lei Guo, Lei Zhu +3
Cross-domain Recommendation (CR) is the task that tends to improve the recommendations in the sparse target domain by leveraging the information from other rich domains. Existing m…