Point-and-shoot data. - Stephanie Lin; Samuel Luescher; Travis Rich; Shaun Salzberg; Hiroshi Ishii 001 (CHI Extended Abstracts, 2012)

Low-Frequency Nonuniformity Correction in Static Thermal Images. - Enrique Sánchez-Monge; Stephanie Lin; Nicholas Högasten; Alessandro Foi (ACSSC, 2018)

A Framework for Preadolescent Programmers to Create Cooperative Multiplayer Reading Games. - Christopher Kumar Anand; Curtis D'Alves; Yumna Irfan; Biya Kazmi; Stephanie Koehl; Stephanie Lin; Christopher William Schankula; Chinmay Jay Sheth; Pedram Yazdinia; John Zhang (IMCL, 2018)

Curiosity Notebook: A Platform for Learning by Teaching Conversational Agents. - Edith Law; Parastoo Baghaei Ravari; Nalin Chhibber; Dana Kulic; Stephanie Lin; Kevin Daniel Pantasdo; Jessy Ceha; Sangho Suh; Nicole Dillen (CHI Extended Abstracts, 2020)

Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. - Hongyi Duanmu; Pauline Boning Huang; Srinidhi Brahmavar; Stephanie Lin; Thomas Ren; Jun Kong 002; Fusheng Wang 001; Tim Q. Duong (MICCAI (2), 2020)

TruthfulQA: Measuring How Models Mimic Human Falsehoods. - Stephanie Lin; Jacob Hilton; Owain Evans (ACL (1), 2022)

Teaching Models to Express Their Uncertainty in Words. - Stephanie Lin; Jacob Hilton; Owain Evans (Trans. Mach. Learn. Res., 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Trading Inference-Time Compute for Adversarial Robustness. - Wojciech Zaremba; Evgenia Nitishinskaya; Boaz Barak; Stephanie Lin; Sam Toyer; Yaodong Yu; Rachel Dias; Eric Wallace; Kai Xiao; Johannes Heidecke; Amelia Glaese (CoRR, 2025)