Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning. - Lisa Wang; Angela Sy; Larry Liu; Chris Piech (EDM, 2017)

Deep Knowledge Tracing On Programming Exercises. - Lisa Wang; Angela Sy; Larry Liu; Chris Piech (L@S, 2017)

Characterization of a novel murine model for spontaneous hemorrhagic stroke using in vivo PET and MR multiparametric imaging. - Salvador Castaneda Vega; Christine Weinl; Carsten Calaminus; Lisa Wang; Maren Harant; Walter Ehrlichmann; Dennis Thiele; Ursula Kohlhofer; Gerald Reischl; Johann-Martin Hempel; Ulrike Ernemann; Leticia Quintanilla Martinez; et al. (NeuroImage, 2017)

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

TF-GNN: Graph Neural Networks in TensorFlow. - Oleksandr Ferludin; Arno Eigenwillig; Martin Blais; Dustin Zelle; Jan Pfeifer; Alvaro Sanchez-Gonzalez; Wai Lok Sibon Li; Sami Abu-El-Haija; Peter W. Battaglia; Neslihan Bulut; Jonathan Halcrow; Filipe Miguel Gonçalves de Almeida; et al. (CoRR, 2022)

Solving math word problems with process- and outcome-based feedback. - Jonathan Uesato; Nate Kushman; Ramana Kumar; H. Francis Song; Noah Y. Siegel; Lisa Wang; Antonia Creswell; Geoffrey Irving; Irina Higgins (CoRR, 2022)

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. - Julia Kreutzer; Isaac Caswell; Lisa Wang; Ahsan Wahab; Daan van Esch; Nasanbayar Ulzii-Orshikh; Allahsera Tapo; Nishant Subramani; Artem Sokolov; Claytone Sikasote; Monang Setyawan; Supheakmungkol Sarin; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text. - Isaac Caswell; Lisa Wang; Isabel Papadimitriou (CoRR, 2023)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

LearnLM: Improving Gemini for Learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Brett Wiltshire; Brian Veprek; Daniel Gillick; Daniel Kasenberg; Derek Ahmed; Irina Jurenka; James Cohan; Jennifer She; et al. (CoRR, 2024)

The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation. - Adam Meyers 001; Rodolfo Joel Zevallos Salazar; John E. Ortega; Lisa Wang (COLING Workshops, 2025)

Evaluating Gemini in an arena for learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Ankit Anand; Avishkar Bhoopchand; Brett Wiltshire; Daniel Gillick; Daniel Kasenberg; Eleni Sgouritsa; Gal Elidan; Hengrui Liu; et al. (CoRR, 2025)