1 citations · 1 across the 5 of their papers we have counts for
5 papers
Auto-Bidding with Disentangled Advertiser Profiles and Train-Free Adaptation
Songyue Cai, Shan Gu, Wei Chen +4
Auto-bidding is a key component of modern advertising systems that provides a personalized bidding strategy for each advertiser. By characterizing each individual, profile-based me…
Strategy-Aware Parameter-Efficient Adaptation for LLM-based Auto-Bidding
Songyue Cai, Lianyu Wang, Shan Gu +4
Advertising bidding has evolved from manual strategies to auto-bidding systems better adapted for large-scale, dynamic auction environments. While recent advances in Large Language…
Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background
Tianyu Li, Zongqian Wu, Songyue Cai +2
CLIP-based foreground-background (FG-BG) decomposition methods have demonstrated remarkable effectiveness in improving few-shot out-of-distribution (OOD) detection performance. How…
Background Prompt for Few-Shot Out-of-Distribution Detection
Songyue Cai, Zongqian Wu, Yujie Mo +4
Existing foreground-background (FG-BG) decomposition methods for the few-shot out-of-distribution (FS-OOD) detection often suffer from low robustness due to over-reliance on the lo…
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Liang Peng, Songyue Cai, Zongqian Wu +3
Prompt learning has demonstrated impressive efficacy in the fine-tuning of multimodal large models to a wide range of downstream tasks. Nonetheless, applying existing prompt learni…