Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study - Niklas Mannhardt; Elizabeth Bondi-Kelly; Barbara D. Lam; Chloe O'Connell; Mercy Asiedu; Hussein Mozannar; Monica Agrawal; Alejandro Buendia; Tatiana Urman; Irbaz B. Riaz; Catherine E. Ricciardi; Marzyeh Ghassemi; et al. (CoRR, 2024)

TabLLM: Few-shot Classification of Tabular Data with Large Language Models - Stefan Hegselmann; Alejandro Buendia; Hunter Lang; Monica Agrawal; Xiaoyi Jiang; David A. Sontag (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

TabLLM: Few-shot Classification of Tabular Data with Large Language Models - Stefan Hegselmann; Alejandro Buendia; Hunter Lang; Monica Agrawal; Xiaoyi Jiang; David A. Sontag (CoRR, 2022)

Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation - Liqun Shao; Sahitya Mantravadi; Tom Manzini; Alejandro Buendia; Manon Knoertzer; Soundar Srinivasan; Chris Quirk (CoRR, 2020)

Random Walk Laplacian and Network Centrality Measures - Daniel Boley; Alejandro Buendia; Golshan Golnari (CoRR, 2018)