Shuyue Stella Li
Scholar

Shuyue Stella Li

Google Scholar ID: CRfOlOEAAAAJ
University of Washington
Natural Language ProcessingComputational LinguisticsArtificial Intelligence
Citations & Impact
All-time
Citations
368
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • 2025: Published 'PrefPalette: Personalized Preference Modeling with Latent Attributes' for cognitively grounded preference learning.
  • 2025: Published 'Spurious Rewards: Rethinking Training Signals in RLVR', showing performance gains with incorrect rewards.
  • 2025: Published 'A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage'.
  • 2025: Published 'ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning'.
  • 2024: Published 'MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning'.
  • 2024: Published 'ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions'.
  • Presented MediQ at NeurIPS 2024 (Vancouver).
  • Presented ValueScope and Multilingual Abstention at EMNLP 2024 (Miami).
  • Gave talks on MediQ at JHU RAIHS Symposium and MSR Real-world Evidence Lab in 2024.
Background
  • Second-year Ph.D. student at the Allen School of Computer Science and Engineering, University of Washington, advised by Yulia Tsvetkov.
  • Research focuses on Natural Language Processing and Cognitive Modeling, with an emphasis on applying AI to improve healthcare and wellness outcomes.
  • Interested in computational modeling of human cognitive processes, including reasoning, communicating uncertainty, and decision-making in complex domains like healthcare.
  • Long-term goal: building socially and cognitively aligned NLP systems for safer, more personalized, and equitable care.
  • Research interests: AI for Health, Safety & Reliability, Proactive Learning, Social Reasoning, etc.
Miscellany
  • Maintains a 'Photography' section on her personal website, indicating interest in photography.
  • Email: stelli@cs.washington.edu
  • Google Scholar ID: CRfOlOEAAAAJ
  • GitHub: stellalisy
  • Location: Seattle, Washington, USA