3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
CrossTune: Black-Box Few-Shot Classification with Label Enhancement
Danqing Luo, Chen Zhang, Yan Zhang +1
Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstr…
cs.LG2024★ 3 cited
Harder Tasks Need More Experts: Dynamic Routing in MoE Models
Quzhe Huang, Zhenwei An, Nan Zhuang +7
In this paper, we introduce a novel dynamic expert selection framework for Mixture of Experts (MoE) models, aiming to enhance computational efficiency and model performance by adju…
cs.LG2024★ 2 cited
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao, Chenyi Zi, Yang Liu +3
Anomaly detection (AD) plays a pivotal role in numerous web-based applications, including malware detection, anti-money laundering, device failure detection, and network fault anal…