Yiran (Jenny) Shen

2nd-year CSE PhD student @UCSD | La Jolla, CA

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Hi, welcome to my homepage! I’m a second-year PhD student in Computer Science at the University of California, San Diego, advised by Prof. Prithviraj (Raj) Ammanabrolu at Pearls LabπŸ§‹.

My research focuses on trustworthy AI for language models and agents, with an emphasis on pluralistic alignment, reasoning, and interpretability. I develop methods that help systems infer user intent through interaction, formalize it into clear, scalable evaluation criteria, and use these signals to train and assess agents on complex, long horizon tasks where success is difficult to verify. I also study reinforcement learning for adaptive multi-agent systems that support effective human-AI collaboration while respecting diverse values and constraints. My long term goal is to build safe, controllable agentic systems that reliably accomplish economically valuable work, and to understand their social and ethical implications in real decision-making.

I have previously interned at Tongyi Lab Logo Alibaba Tongyi Lab, where I was advised by Dr. Liuyi Yao, working on research related to personalized alignment, role-play agents, and reasoning. Prior to joining UCSD, I completed my Master’s in Interdisciplinary Data Science at πŸ’™ Duke University, where I was fortunate to work with Prof. Brandon T. Fain and Prof. Bruce W. Rogers. Before that, I received my Bachelor’s degree from the πŸ‡¦πŸ‡Ί University of Melbourne, majoring in Economics and Finance with a minor in Statistics.

News

Dec 02, 2025 I will be attending NeurIPS in San Diego πŸ„ and presenting my new work at the Math-AI Workshop. See you there!
Aug 20, 2025 Our new work SAND 🏝 is accepted at EMNLP Main. Congratulations to all collaborators! πŸŽ‰
Jul 07, 2025 Two of our papers are accepted at COLM πŸ¦™πŸ. Congratulations to all collaborators! πŸŽ‰

Selected Publications

  1. MATH-AI@NeurIPS
    Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
    Yiran Shen, Yu Xia, Jonathan Chang, and Prithviraj Ammanabrolu
    2025
  2. EMNLP
    SAND: Boosting LLM Agents with Self-Taught Action Deliberation
    Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A Rossi, Lina Yao, and Julian McAuley
    2025
  3. COLM
    A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
    Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, and Julian McAuley
    2025