Xu, Gongjun

7 publications

NeurIPS 2025 Bridging Human and LLM Judgments: Understanding and Narrowing the Gap Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun

ICML 2024 tinyBenchmarks: Evaluating LLMs with Fewer Examples Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

JMLR 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson

JMLR 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding Jing Ouyang, Kean Ming Tan, Gongjun Xu

JMLR 2023 Statistical Inference for Noisy Incomplete Binary Matrix Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu

JMLR 2020 A Regularization-Based Adaptive Test for High-Dimensional GLMs Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan

JMLR 2019 Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models Yuqi Gu, Gongjun Xu