3 papers
cs.LG2026
Recovering Stranded Discrimination in Knowledge Tracing: Per-Item Bias Correction via Empirical-Bayes Shrinkage
Xiaoran Yan, Cheng Tang, Atsushi Shimada
Deployed knowledge-tracing models are typically frozen after training, yet systematic per-item logit bias arises, from limited per-item expressivity in backbone architectures and f…
cs.CL2024
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems
Ding Kai, Ma Zhenguo, Yan Xiaoran
This study focuses on improving the performance of lightweight Large Language Models (LLMs) in mathematical reasoning tasks. We introduce a novel method for measuring mathematical…
cs.IT2011
Active Learning for Node Classification in Assortative and Disassortative Networks
Cristopher Moore, Xiaoran Yan, Yaojia Zhu +2
In many real-world networks, nodes have class labels, attributes, or variables that affect the network's topology. If the topology of the network is known but the labels of the nod…