2 papers
cs.AI2026
EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics
Shuyue Stella Li, Rui Xin, Teng Xiao +8
Language models encode substantial evaluative knowledge from pretraining, yet current post-training methods rely on external supervision (human annotations, proprietary models, or…
econ.EM2024
Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity
Yike Wang, Chris Gu, Taisuke Otsu
This paper presents a novel application of graph neural networks for modeling and estimating network heterogeneity. Network heterogeneity is characterized by variations in unit's d…