Shuhao Guan

20 papers A* 4A 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models.
CoRR
Moule Lin, Shuhao Guan, Andrea Patane, David Gregg, Goetz Botterweck
2026 J jnl
EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines.
CoRR
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
2026 A* conf
Flow-Induced Diagonal Gaussian Processes.
AAAI
Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck
2025 — conf
CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs.
EMNLP (Findings)
Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei
2025 A* conf
DCR: Quantifying Data Contamination in LLMs Evaluation.
EMNLP
Cheng Xu, Nan Yan, Shuhao Guan, Changhong Jin, Yuke Mei, Yibing Guo, M. Tahar Kechadi
2025 J jnl
DCR: Quantifying Data Contamination in LLMs Evaluation.
CoRR
Cheng Xu, Nan Yan, Shuhao Guan, Changhong Jin, Yuke Mei, Yibing Guo, M. Tahar Kechadi
2025 J jnl
Flow-Induced Diagonal Gaussian Processes.
CoRR
Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck
2025 — conf
PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy.
ACL (1)
Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene
2025 J jnl
PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy.
CoRR
Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene
2025 A* conf
SSA: Semantic Contamination of LLM-Driven Fake News Detection.
EMNLP
Cheng Xu, Nan Yan, Shuhao Guan, Yuke Mei, M. Tahar Kechadi
2025 A conf
Stochastic Weight Sharing for Bayesian Neural Networks.
AISTATS
Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane
2025 J jnl
Stochastic Weight Sharing for Bayesian Neural Networks.
CoRR
Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane
2025 — conf
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models.
ACL (1)
Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang
2025 J jnl
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models.
CoRR
Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang
2025 J jnl
λ-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences.
CoRR
Yining Wang, Jinman Zhao, Chuangxin Zhao, Shuhao Guan, Gerald Penn, Shinan Liu
2024 — conf
Advancing Post-OCR Correction: A Comparative Study of Synthetic Data.
ACL (Findings)
Shuhao Guan, Derek Greene
2024 J jnl
Advancing Post-OCR Correction: A Comparative Study of Synthetic Data.
CoRR
Shuhao Guan, Derek Greene
2024 J jnl
Benchmark Data Contamination of Large Language Models: A Survey.
CoRR
Cheng Xu, Shuhao Guan, Derek Greene, M. Tahar Kechadi
2024 A* conf
Effective Synthetic Data and Test-Time Adaptation for OCR Correction.
EMNLP
Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene
2024 A conf
Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction.
ECAI
Shuhao Guan, Derek Greene