2 papers
cs.CV2026
Learning to Think Fast and Slow for Visual Language Models
Chenyu Lin, Cheng Chi, Jinlin Wu +2
When faced with complex problems, we tend to engage in slower, more deliberate thinking. In contrast, for simple questions we give quick, intuitive responses. This dual-system thin…
cs.LG2026
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
Sifeng Shang, Jiayi Zhou, Chenyu Lin +2
As the size of large language models grows exponentially, GPU memory has become a bottleneck for adapting these models to downstream tasks. In this paper, we aim to push the limits…