My name is Moxin Li (李墨馨). I am a fourth-year Ph.D. candidate at NExT Research Center, National University of Singapore (NUS). I am fortunately advised by Prof. Tat-Seng Chua, mentored by Prof. Fuli Feng and Prof. Wenjie Wang. Before that, I graduated from Yuanpei College, Peking University in 2020 with a bachelor's degree.

Research Interests

My research centers around trustworthy language models. I focus on topics such as:

• Robustness: robust question answering by counterfactual reasoning [ACL 2022], [ACL findings 2023], robust prompt optimization [EMNLP 2023].
• Confidence calibration for mitigating hallucination [EMNLP findings 2024].
• Multi-objective alignment towards thorough and unbiased trustworthiness [ARR 2025 Under Review].

I'm also interested in:

• LLM Evaluation [ACL findings 2024, ARR 2025]
• Knowledge Boundaries in LLMs [ARR 2025]
• Prompt Optimization [EMNLP findings 2024, EMNLP 2023]
• Table-and-Text QA [ACL 2022]

See my Google Scholar and DBLP pages for full publication list.

I am actively seeking postdoc opportunities. Feel free to reach out!

View My Resume

Publications Google Scholar DBLP

   *Equal Contribution
In the Year of 2025:

pdf	Self-improvement towards pareto optimality: Mitigating preference conflicts in multi-objective alignment Moxin Li*, Yuantao Zhang*, Wenjie Wang, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua Arxiv Github

pdf	HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin Arxiv

pdf	Knowledge Boundary of Large Language Models: A Survey Moxin Li*, Yong Zhao*, Yang Deng, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua Arxiv Github

pdf	Counterfactual debating with preset stances for hallucination elimination of LLMs Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng COLING 2025

In the Year of 2024:

pdf	TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat Seng Chua ICAIF 2024

pdf	Think twice before trusting: Self-detection for large language models through comprehensive answer reflection Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua EMNLP Findings 2024

pdf	Dual-Phase Accelerated Prompt Optimization Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng EMNLP Findings 2024

pdf	Evaluating mathematical reasoning of large language models: A focus on error identification and correction Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng ACL Findings 2024

pdf	Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua EMNLP 2024

In the Year of 2023:

pdf	Robust prompt optimization for large language models against distribution shifts Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua EMNLP 2023 (Oral) Github

pdf	Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua ACL Findings 2023 Github

pdf	Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua LREC-COLING 2024

pdf	Soargraph: Numerical reasoning over financial table-text data via semantic-oriented hierarchical graphs Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat Seng Chua WWW 2023 (Workshop)

In the Year of 2022 and before:

pdf	Learning to imagine: Integrating counterfactual thinking in neural discrete reasoning Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua ACL 2022 Github

pdf	Hybrid learning to rank for financial event ranking Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua SIGIR 2021 Github

pdf	Learning sense representation from word representation for unsupervised word sense disambiguation Jie Wang, Zhenxin Fu, Moxin Li, Haisong Zhang, Dongyan Zhao, Rui Yan AAAI 2020 (Student Abstract)

Professional Service and Presentation

Conference and Journal Reviewer: ACL ARR, EMNLP ARR, ICLR, AAAI, KDD, CL Conference Volunteer: EMNLP 2024, WWW 2024, WSDM 2023 Session Chair and Presenter: The 2022, 2023, 2024 Singapore Symposium on Natural Language Processing Presenter: Singapore ACM SIGKDD Symposium 2024 Test Designer and Organizer: CCIR Cup 2022

Education

School of Computing, National University of Singapore (NUS)Aug. 2021 - Now, Singapore Ph.D. in Computer Science Advisor: Prof. Tat-Seng Chua Mentors: Prof. Fuli Feng and Prof. Wenjie Wang

Yuanpei College, Peking University (PKU) Sep. 2016 - Jun. 2020, Beijing Bachelor in Intelligent Science and Technology

Experiences

Research Intern, Sep. 2020 - Jul. 2021 NExT Research Center, National University of Singapore Advisior: Prof. Tat-Seng Chua and Prof. Fuli Feng

Research Intern, Jun. 2019 - Jun. 2020 Wangxuan Institute of Computer Technology, Peking University Advisior: Prof. Rui Yan

Honors and Awards

Research Achievement Award,    2023    School of Computing, National University of Singapore