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Fall 2026

  1. Adaptive Discriminant Regularization in Membership Inference on Sequence Models
    : Alexander Myrick, Kenneth Hou
  2. Mapping Generalization Failures in Geographic Information Systems
    : Kevin Cho, Victor Li
  3. Evaluating Large Language Models on Question Answering in Kinyarwanda
    : Peace Cyebukayire, Ramlah Amer, Miya Fu
  4. The Effect of Persistent Memory Personalization on Sycophancy and Capitulation Rate in Multi-Turn LLM Medical Advice Dialogue
    : Jake Floch, Alexander Lautin, Timothy Lim
  5. Incremental Updating of Single-Image Gaussian Avatars Under Appearance Changes
    : Nicky Ren, Jason Sun, Mingxun Miao
  6. Standard-Grounded Difficulty-Controlled Question Generation in K–5 Math Curriculum
    : Taeeun Kim, Eugene Shin, Mandy Sun
  7. LLM-Based Gene Selection for Asthma Classification Using RNA Sequencing Data
    : Emma Li, Jasmine Zhou
  8. Predicting Climbing Success Using Route Grades, Climber History, and Climbing Context
    : Peter Chen, Roger Jin, Hector Liao
  9. Utilizing GNNs for Disease Drug Re-purposing
    : Leonardo De Farias, Esther Fu, Kyeongmin Kim
  10. Decision-Targeted Fine-Tuning of Multimodal Foundation Models for Multi-Objective Decision Making under Partial Observability
    : Mingke Tian, Yida Xu
  11. he Telephone Game: Which Information Survives Repeated Context Handoffs in LLM Agents
    : Mason Chyu, Jay Lee