Tan, Lin

5 publications

NeurIPS 2025 CoRe: Benchmarking LLMs’ Code Reasoning Capabilities Through Static Analysis Tasks Danning Xie, Mingwei Zheng, Xuwei Liu, Jiannan Wang, Chengpeng Wang, Lin Tan, Xiangyu Zhang

AAAI 2025 LATTE: Improving LaTeX Recognition for Tables and Formulae with Iterative Refinement Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan

ICLR 2025 Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin

AAAI 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan

NeurIPS 2021 Are My Deep Learning Systems Fair? an Empirical Study of Fixed-Seed Training Shangshu Qian, Viet Hung Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah