# About

I'm a PhD student at Purdue University, advised by Prof. Jing Gao and Prof. Xiaoqian Wang. I hold a Master's Degree with honors from Zhejiang University (China) and a Bachelor's Degree with honors from Northeastern University (China).

# News

• [Mar 2025] Multimodal KG Survey accepted by Information Fusion.

• [Jan 2025] FedBiscuit accepted by ICLR 2025.

• [Jan 2025] CausalEval accepted by NAACL 2025.

• [Jan 2025] Survey on Factuality in Large Language Models accepted by ACM Computing Surveys.

• [Dec 2024] GraphEval accepted by IEEE Data Engineering Bulletin.

• [Nov 2024] Listed as one of the Top Reviewers for NeurIPS 2024.

• [Sep 2024] Two Papers Accepted by EMNLP 2024 Main Conference: SHIELD and SaySelf. See you in Miami, Florida!

# Recent Publications

1. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. Cunxiang Wang#, Xiaoze Liu#, Yuanhao Yue#, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang, ACM Computing Surveys (CSUR), 2025

2. SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. Xiaoze Liu#, Ting Sun#, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

3. Towards Federated RLHF with Aggregated Client Preference for LLMs. Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao, The Thirteenth International Conference on Learning Representations (ICLR), 2025

4. Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao IEEE Data Engineering Bulletin, 2024

5. SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. EMNLP 2024 Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

6. CausalEval: Towards Better Causal Reasoning in Language Models. Longxuan Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan, The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL), 2025

...

(Full List) (Google Scholar)

# Education and Experience

• PhD Student, Purdue University, 2023 - Present
• Master's Degree, Zhejiang University, 2020 - 2023, Graduated with Outstanding Graduate Award
  • Awarded Outstanding Master’s Thesis of Zhejiang Province (Top 2%)
  • Research Intern, AliCloud & Alibaba DAMO Academy, 2021-2023
• Bachelor's Degree, Northeastern University, 2016 - 2020, Graduated with Outstanding Graduate Award
  • Intern, ByteDance, 2019 - 2020
  • Exchange Student, Kanazawa University, 2019 - 2020, Supported by JASSO Scholarship

# Academic Services

Serve as a reviewer/PC for

• 2025: KDD (Research Track), ICLR, ICML, NeurIPS, ACL Rolling Review (ACL, EMNLP, NAACL)
• 2024: KDD (Research Track), NeurIPS (Research & Dataset Track), ACM MM, SDM, CIKM, ISWC (Poster & Demo Track), ACL Rolling Review (ACL, EMNLP, NAACL)
• 2023: KDD (Research Track), NeurIPS (Dataset Track), EMNLP

Served as a Journal reviewer for Transactions on Machine Learning Research, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Information Sciences, IEEE Transactions on Big Data