Xuhui Zhou

Last update: Dec 04, 2024


Contact

Address:
4902 Forbes Ave, Gates Hillman Complex, Pittsburgh, PA

Homepage: https://xuhuiz.com/
Email: xuhuiz@cs.cmu.edu
Tel: 206-306-5850


Research

Socially intelligent AI agents. Specifically, I am interested in facilitating pro-social agents that interact cooperatively, align with human values, and contribute positively to individual and societal well-being.


Education

Carnegie Mellon University, Pittsburgh, PA (Aug 2022)
PhD in Computer Science (Language Technologies)
Advisor: Maarten Sap

University of Washington, Seattle, WA (Sep 2019 - Jun 2021)
M.Sc in Computational Linguistics
Advisor: Noah Smith

Nanjing University, Nanjing, China (Sep 2015 - Jun 2019)
B.Sc in Statistics, Department of Mathematics
Advisor: Shujian Huang

University of California Berkeley, Berkeley, CA (visiting student) (Aug 2017 - May 2018)


Industry Experience

Allen Institute for Artificial Intelligence
Research Intern (May 2024 - Aug 2024)

Machine Intelligence @ Apple
Research Intern (Mar 2021 - Sep 2021)


Recent Preprints

(*Equal contribution)

  1. Minion: A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications
    Xianzhe Fan, Qing Xiao, Xuhui Zhou, Yuran Su, Zhicong Lu, Maarten Sap, Hong Shen

  2. BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
    Wenkai Li, Jiarui Liu, Andy Liu, Xuhui Zhou, Mona Diab, Maarten Sap

  3. HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
    Xuhui Zhou, Hyunwoo Kim*, Faeze Brahman*, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
    Website

  4. AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
    Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap

  5. User-Driven Value Alignment: Understanding Users’ Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
    Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen

  6. On the Resilience of Multi-Agent Systems with Malicious Agents
    Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, Michael R. Lyu

Publications

(*Equal contribution)

  1. Consent in crisis: The rapid decline of the ai data commons
    Shayne Longpre, Robert Mahari, Ariel Lee, …, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
    NeurIPS Datasets and Benchmarks 2024

  2. PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models
    Devansh Jain, Priyanshu Kumar, Samuel Gehman, Xuhui Zhou, Thomas Hartvigsen, Maarten Sap
    COLM 2024

  3. Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
    Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap
    EMNLP 2024, Website

  4. SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
    Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Zhengyang Qi, Haofei Yu, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
    ICLR 2024, Spotlight, Website

  5. WebArena: A Realistic Web Environment for Building Autonomous Agents
    Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
    ICLR 2024

  6. Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
    Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
    ICLR 2024, Spotlight

  7. FANTOM: A Benchmark for Analyzing Theory of Mind in Conversations
    Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
    EMNLP 2023

  8. Don’t Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting
    Akhila Yerukola, Xuhui Zhou, Maarten Sap
    EMNLP 2023

  9. Learning to translate by learning to communicate
    C.M. Downey, Xuhui Zhou, Leo Z. Liu, Shane Steinert-Threlkeld
    EMNLP MRL 2023

  10. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
    Natalie Shapira, Mosh Levy, Hossein Seyed Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, and Vered Shwartz
    EACL 2023

  11. Cobra frames: Contextual Reasoning about Effects and Harms of Offensive Statements
    Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap
    Findings of ACL 2023

  12. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
    Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
    NAACL 2022

  13. Emergent Communication Fine-tuning (EC-FT) for Pretrained Language Models
    Shane Steinert-Threlkeld, Xuhui Zhou, Zeyu Liu, C. M. Downey
    ICLR EmeCom 2022, Runner-up Best Paper

  14. Extracting and Inferring Personal Attributes from Dialogue
    Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
    ACL ConvAI, 2022

  15. Challenges in Automated Debiasing for Toxic Language Detection
    Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A.Smith, Yejin Choi
    EACL, 2021

  16. Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
    Chuanrong Li, Lin Shengshuo, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld
    *EMNLP BlackboxNLP, 2020

  17. Multilevel Text Alignment with Cross-Document Attention
    Xuhui Zhou, Nikolaos Pappas, Noah A. Smith
    EMNLP, 2020

  18. Evaluating Commonsense in Pre-trained Language Models
    Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang
    AAAI, 2020

  19. RPD: A Distance Function Between Word Embeddings
    Xuhui Zhou, Zaixiang Zheng, Shujian Huang
    ACL Student Research Workshop, 2020


Invited Talks


Awards & Media Coverage


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