Scholar
Xiaoze Liu
Google Scholar ID: MaIQOwsAAAAJ
PhD Student, ECE at Purdue University
Citations & Impact
Citations
881
H-index
14
i10-index
15
Publications
19
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning' accepted by COLM 2025
- - Paper 'SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation' published at EMNLP 2024
- - Survey 'Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity' published in ACM Computing Surveys (CSUR) 2025
- - Paper 'Towards Federated RLHF with Aggregated Client Preference for LLMs' published at ICLR 2025
- - Paper 'Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs' published in IEEE Data Engineering Bulletin 2024
- - Paper 'SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales' published at EMNLP 2024
- - Paper 'CausalEval: Towards Better Causal Reasoning in Language Models' published at NAACL 2025
Research Experience
- - Applied Scientist Intern, AWS AI Labs – Fundamental Research Team, 2025
- - Research Intern, AliCloud & Alibaba DAMO Academy, 2021-2023
- - Intern, ByteDance, 2019-2020
Education
- - PhD Student, Purdue University, 2023 - Present, Advisors: Prof. Jing Gao and Prof. Xiaoqian Wang
- - Master's Degree, Zhejiang University, 2020 - 2023, Graduated with Outstanding Graduate Award and Outstanding Master’s Thesis of Zhejiang Province (Top 2%)
- - Bachelor's Degree, Northeastern University, 2016 - 2020, Graduated with Outstanding Graduate Award
- - Exchange Student, Kanazawa University, 2019 - 2020, Supported by JASSO Scholarship
Background
- PhD student at Purdue University, with research interests in copyright compliance for large language models, factuality assessment, and causal reasoning. Advised by Prof. Jing Gao and Prof. Xiaoqian Wang.
Miscellany
- Personal interests not mentioned
