3 papers
cs.CL2025
When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
Shaowen Wang, Yiqi Dong, Ruinian Chang +4
Despite substantial advances, large language models (LLMs) continue to exhibit hallucinations, generating plausible yet incorrect responses. In this paper, we highlight a critical…
cs.LG2025
CAdam: Confidence-Based Optimization for Online Learning
Shaowen Wang, Anan Liu, Jian Xiao +9
Modern recommendation systems frequently employ online learning to dynamically update their models with freshly collected data. The most commonly used optimizer for updating neural…
cs.LG2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang, Linxi Yu, Jian Li
Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (P…