Yanchen Liu


Cambridge, MA, USA 02138
Graduate School of Arts and Sciences, Harvard University

I am a second-year master’s student at Harvard University h. Currently, I am visiting the Social and Language Technologies (SALT) lab, Stanford NLP Group s , collaborating with Prof. Diyi Yang. Also, I am a member of the AI4LIFE Group at Harvard SEAS, working with Prof. Hima Lakkaraju.

Previously, I obtained my Bachelor’s degree in Computer Science from TUM tum , with a minor in Computational Linguistics at LMU lmu . During my undergraduate studies, I was fortunate to be supervised by Prof. Hinrich Schütze and Timo Schick.

My research interests lie in Human-Centered NLP, with a particular focus on: i) Learning from Human Language; ii) Learning from Human Interaction and for iii) Ensuring Reliable Human Impact.


Nov 16, 2023 Greatly honored to give a talk on my work, Dynamic Aggregation & Auto-Discovery of Linguistic Features, within the Stanford NLP Group. :sparkles: drawing
Oct 8, 2023 Two papers are accepted to EMNLP 2023. :sparkles: :smile:
Oct 7, 2022 I joined the Social and Language Technologies (SALT) lab, Stanford NLP Group, working with Prof. Diyi Yang on social-aware NLP. :sparkles: drawing

selected publications

  1. From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media
    Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, and Diyi Yang
    Under Review # Social Computing # CSS
  2. Investigating the Fairness of Large Language Models for Predictions on Tabular Data
    Yanchen Liu, Srishti Gautam, Jiaqi Ma, and Himabindu Lakkaraju
    Short Version in NeurIPS 2023 Workshop on Socially Responsible Language Modelling Research
    Under Review # Fairness # Tabular
  3. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules
    Yanchen LiuWilliam Held, and Diyi Yang
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
    EMNLP 2023 # Dialect-Inclusive # Robustness # Fairness # Linguistics
  4. Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
    Yanchen LiuTimo Schick, and Hinrich Schütze
    In ACL 2023 Workshop on Simple and Efficient Natural Language Processing
    SustaiNLP 2023 Oral Presentation # Low-Resource # Data-Efficiency