2 papers
cs.LG2025
Coresets for Clustering Under Stochastic Noise
Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi +2
We study the problem of constructing coresets for -clustering when the input dataset is corrupted by stochastic noise drawn from a known distribution. In this setting, eval…
cs.CL2025
The Role of Diversity in In-Context Learning for Large Language Models
Wenyang Xiao, Haoyu Zhao, Lingxiao Huang
In-context learning (ICL) is a crucial capability of current large language models (LLMs), where the selection of examples plays a key role in performance. While most existing appr…