Advancing Post-OCR Correction: A Comparative Study of Synthetic Data. - Shuhao Guan; Derek Greene (ACL (Findings), 2024)

Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction. - Shuhao Guan; Derek Greene (ECAI, 2024)

Effective Synthetic Data and Test-Time Adaptation for OCR Correction. - Shuhao Guan; Cheng Xu 006; Moule Lin; Derek Greene (EMNLP, 2024)

Benchmark Data Contamination of Large Language Models: A Survey. - Cheng Xu 006; Shuhao Guan; Derek Greene; M. Tahar Kechadi (CoRR, 2024)

PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy. - Shuhao Guan; Moule Lin; Cheng Xu 006; Xinyi Liu; Jinman Zhao; Jiexin Fan; Qi Xu; Derek Greene (ACL (1), 2025)

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models. - Xueyan Zhang; Jinman Zhao; Zhifei Yang 004; Yibo Zhong; Shuhao Guan; Linbo Cao; Yining Wang (ACL (1), 2025)

Stochastic Weight Sharing for Bayesian Neural Networks. - Moule Lin; Shuhao Guan; Weipeng Jing 001; Goetz Botterweck; Andrea Patane (AISTATS, 2025)

DCR: Quantifying Data Contamination in LLMs Evaluation. - Cheng Xu 006; Nan Yan; Shuhao Guan; Changhong Jin; Yuke Mei; Yibing Guo; M. Tahar Kechadi (CoRR, 2025)