Me
Xin Xu
CSE Ph.D. Student @ UCSD

About

πŸ‘‹ Hi, I'm Xin Xu (徐欣), a 2nd-year Computer Science and Engineering Ph.D. student at UCSD, advised by Prof. Julian McAuley.
πŸŽ“ I obtained a Computer Technology Master's degree from Zhejiang University, advised by Prof. Ningyu Zhang (ZJUNLP).
πŸ’» I was fortunate to intern at Microsoft Research Asia with Xu Tan.
πŸ‘€ My research interest is updating and controlling LLM behaviors:

  • Trustworthy NLP: LLM reasoning, LLM interpretability and factuality (knowledge editing and low-resource acquisition), fairness and toxicity (mitigation and interpretability)
  • Music Science: interpretation, evaluation, and generation (musician-oriented AI assistant)
πŸ“¬ Feel free to email me to discuss potential research and collaboration.
❗ I'm looking for a Research Scientist (NLP) Internship in Summer 2026. Please email me if you think I'm a good fit in your team.


Selected Papers [All]

* Equal contribution. † Corresponding author.

    When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
    Xunyi Jiang, Dingyi Chang, Julian McAuley, Xin Xu†

    LLM-eval@NeurIPS 2025 [Paper] [Code]

    BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
    Xin Xu, Xunzhi He*, Churan Zhi*, Ruizhe Chen, Julian McAuley, Zexue He†

    Work in Progress [Paper] [Code]

    Improving In-Context Learning with Reasoning Distillation
    Nafis Sadeq, Xin Xu, Zhouhang Xie, Julian McAuley, Byungkyu Kang, Prarit Lamba, Xiang Gao

    Work in Progress [Paper] [Code]

    BiasEdit: Debiasing Stereotyped Language Models via Model Editing
    Xin Xu, Wei Xu, Ningyu Zhang, Julian McAuley

    TrustNLP @ NAACL 2025 [Paper] [Code]

    Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
    Jintian Zhang*, Xin Xu*, Ningyu Zhang†, Ruibo Liu, Bryan Hooi, Shumin Deng†

    ACL 2024 [Paper] [Code] [Pre] [Poster]

    MuseCoco: Generating Symbolic Music from Text
    Peiling Lu*, Xin Xu*, Chenfei Kang*, Botao Yu*, Chengyi Xing*, Xu Tan†, Jiang Bian

    arXiv:2306.00110 [Paper] [Demo] [Code]

    How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
    Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang†

    SustaiNLP @ ACL 2023 [Paper] [Code] [Pre] [Poster]

    Schema-adaptable Knowledge Graph Construction
    Hongbin Ye, Honghao Gui, Xin Xu, Huajun Chen, Ningyu Zhang†

    Findings of EMNLP 2023 [Paper] [Code]

    Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
    Xin Xu, Xiang Chen, Ningyu Zhang†, Xin Xie, Xi Chen, Huajun Chen

    Findings of EMNLP 2022 [Paper] [Code] [Pre] [Poster]

    DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
    Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Qiang Chen, Feiyu Xiong, Fei Huang, Guozhou Zheng, Huajun Chen†

    EMNLP 2022 System Demonstrations [Paper] [Code] [Demo] [Pre] [Poster]


Education


Ph.D.           Sep. 2024 - Present
                    University of California, San Diego, La Jolla, CA, U.S.
                    Computer Science and Engineering, Prof. Julian McAuley
M.E.             Sep. 2021 - Jun. 2024
                    Zhejiang University, Hangzhou, Zhejiang, China.
                    Computer Technology, Prof. Ningyu Zhang
B.E.             Sep. 2017 - Jun. 2021
                    Lanzhou University, Lanzhou, Gansu, China.
                    Computer Science and Technology


Experience

Adobe Research
Research Scientist Intern, June 2025 -- Sept. 2025, San Jose, CA, US
Advisor: Tong Yu, Xiang Chen, Haoliang Wang, Saayan Mitra
Georgia Institute of Technology, NLP X Lab
Research Intern, July 2023 -- Feb. 2024, Remote
Debiasing Stereotyped Language Models
Advisor: Prof. Wei Xu
Microsoft Research Asia, Machine Learning Group
ML Research Intern, Feb. 2023 -- July. 2023, Beijing, China
Text-to-Music Generation
Advisor: Xu Tan
Fudan University, FD-LAMT
Research Intern, June. 2020 -- Sep. 2020, Remote
Music Generation
Advisor: Prof. Wei Li
Zhejiang University, NEXT LAB
Research Intern, July. 2020 -- Aug. 2020, Remote
Amelioration for Generated MIDI Piano [Code]
Advisor: Prof. Kejun Zhang


Award

China National Scholarship, 2022-2023
Most Popular Poster Award, CCKS 2022
Jun-Tsung Scholar (δ‡Ήζ”Ώε­¦θ€…), the Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment, 2021
(Chinese Music Transformer and RedMelody Dataset)

Services

Reviewer: ICLR, NeurIPS, ARR, KDD, TALLIP
Academic Mentor: Xunyi Jiang, Yash Vishe, Jaedyn Chang, Eric Xue
Teaching Assistant: CSE 258 - Web Mining and Recommender Systems

Miscellaneous

🎡 Art is my life.
Feel free to call me Rodenza (Rubato + Cadenza).
I love interpreting music pieces and playing the piano. I am a big fan of concerts and art museums.
I spent the most wonderful time of my life at the Wenqin Piano Society in Zhejiang University.
Here are my performances with lovely piano friends:
Vivaldi: Four Seasons, Spring (Transcr. for Duo Pianos by Alceo Toni)
Mozart: Larghetto and Allegro in E-flat Major, K.deest
Grieg: Peer Gynt Suite No.1, Op.46 (Transcr. for Eight Hands by Adolf Ruthardt)

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