Shuhao Guan

According to our database, Shuhao Guan authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection.

Cheng Xu, Changhong Jin, Yingjie Niu, Nan Yan, Yuke Mei, Shuhao Guan, Liming Chen, M. Tahar Kechadi

CoRR, April, 2026

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models.

Moule Lin, Shuhao Guan, Andrea Patane, David Gregg, Goetz Botterweck

CoRR, January, 2026

EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines.

Shuo Zhang, Chaofa Yuan, Ryan Guo, Xiaomin Yu, Rui Xu, Zhangquan Chen, Zinuo Li, Zhi Yang, Shuhao Guan, Zhenheng Tang, Sen Hu, Liwen Zhang, Ronghao Chen, Huacan Wang

CoRR, January, 2026

Flow-Induced Diagonal Gaussian Processes.

Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

λ-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences.

Yining Wang, Jinman Zhao, Chuangxin Zhao, Shuhao Guan, Gerald Penn, Shinan Liu

CoRR, October, 2025

SSA: Semantic Contamination of LLM-Driven Fake News Detection.

Cheng Xu, Nan Yan, Shuhao Guan, Yuke Mei, M. Tahar Kechadi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DCR: Quantifying Data Contamination in LLMs Evaluation.

Cheng Xu, Nan Yan, Shuhao Guan, Changhong Jin, Yuke Mei, Yibing Guo, M. Tahar Kechadi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs.

Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Stochastic Weight Sharing for Bayesian Neural Networks.

Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models.

Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy.

Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Benchmark Data Contamination of Large Language Models: A Survey.

Cheng Xu, Shuhao Guan, Derek Greene, M. Tahar Kechadi

CoRR, 2024

Effective Synthetic Data and Test-Time Adaptation for OCR Correction.

Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction.

Shuhao Guan, Derek Greene

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Advancing Post-OCR Correction: A Comparative Study of Synthetic Data.

Shuhao Guan, Derek Greene

Proceedings of the Findings of the Association for Computational Linguistics, 2024