Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. - Karthik Narasimhan; Adam Yala; Regina Barzilay (EMNLP, 2016)

COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. - Martha Rebeca Canales-Fiscal; Rocío Ortiz López; Regina Barzilay; Victor Treviño; Servando Cardona-Huerta; Luis Javier Ramírez-Treviño; Adam Yala; José G. Tamez-Peña (BCB, 2021)

NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. - Adam Yala; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Ken R. Duffy; Manya Ghobadi; Tommi S. Jaakkola; Vinod Vaikuntanathan; Regina Barzilay; Muriel Médard (CoRR, 2021)

Syfer: Neural Obfuscation for Private Data Release. - Adam Yala; Victor Quach; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Ken R. Duffy; Muriel Médard; Tommi S. Jaakkola; Regina Barzilay (CoRR, 2022)

AI Gone Astray: Technical Supplement. - Janice Yang; Ludvig Karstens; Casey Ross; Adam Yala (CoRR, 2022)

Machine Learning Methods for Image-based Personalized Cancer Screening - Adam Yala (2022)

PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. - Homa Esfahanizadeh; Adam Yala; Rafael G. L. D'Oliveira; Andrea J. D. Jaba; Victor Quach; Ken R. Duffy; Tommi S. Jaakkola; Vinod Vaikuntanathan; Manya Ghobadi; Regina Barzilay; Muriel Médard (CoRR, 2023)

LLM-grounded Video Diffusion Models. - Long Lian; Baifeng Shi; Adam Yala; Trevor Darrell; Boyi Li (ICLR, 2024)

Conformal Language Modeling. - Victor Quach; Adam Fisch; Tal Schuster; Adam Yala; Jae Ho Sohn; Tommi S. Jaakkola; Regina Barzilay (ICLR, 2024)

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. - Long Lian; Boyi Li; Adam Yala; Trevor Darrell (Trans. Mach. Learn. Res., 2024)

An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. - Adrian Serapio; Gunvant R. Chaudhari; Cody Savage; Yoo Jin Lee; Maya Vella; Shravan Sridhar; Jamie Lee Schroeder; Jonathan Liu; Adam Yala; Jae Ho Sohn (BMC Medical Imaging, 2024)

Rethinking Patch Dependence for Masked Autoencoders. - Letian Fu; Long Lian; Renhao Wang; Baifeng Shi; Xudong Wang 007; Adam Yala; Trevor Darrell; Alexei A. Efros; Ken Goldberg (Trans. Mach. Learn. Res., 2025)

Atlas: Multi-Scale Attention Improves Long Context Image Modeling. - Kumar Krishna Agrawal; Long Lian; Longchao Liu; Natalia Harguindeguy; Boyi Li; Alexander Bick; Maggie Chung; Trevor Darrell; Adam Yala (CoRR, 2025)

TULIP: Towards Unified Language-Image Pretraining. - Zineng Tang; Long Lian; Seun Eisape; Xudong Wang 007; Roei Herzig; Adam Yala; Alane Suhr; Trevor Darrell; David M. Chan (CoRR, 2025)

Learning Adaptive Parallel Reasoning with Language Models. - Jiayi Pan; Xiuyu Li; Long Lian; Charlie Snell; Yifei Zhou; Adam Yala; Trevor Darrell; Kurt Keutzer; Alane Suhr (CoRR, 2025)

Describe Anything: Detailed Localized Image and Video Captioning. - Long Lian; Yifan Ding; Yunhao Ge; Sifei Liu; Hanzi Mao; Boyi Li; Marco Pavone 001; Ming-Yu Liu 001; Trevor Darrell; Adam Yala; Yin Cui (CoRR, 2025)