MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. - Mike A. Merrill; Ge Zhang; Tim Althoff (KDD, 2021)

Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. - Mike A. Merrill; Tim Althoff (CoRR, 2021)

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. - Xuhai Xu; Han Zhang 004; Yasaman S. Sefidgar; Yiyi Ren; Xin Liu 034; Woosuk Seo; Jennifer Brown; Kevin S. Kuehn; Mike A. Merrill; Paula S. Nurius; Shwetak N. Patel; Tim Althoff; et al. (NeurIPS, 2022)

CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis. - Ge Zhang; Mike A. Merrill; Yang Liu 136; Jeffrey Heer; Tim Althoff (EPJ Data Sci., 2022)

Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. - Mike A. Merrill; Tim Althoff (CHIL, 2023)

Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. - Mike A. Merrill; Esteban Safranchik; Arinbjörn Kolbeinsson; Piyusha Gade; Ernesto Ramirez; Ludwig Schmidt; Luca Foshchini; Tim Althoff (CHIL, 2023)

BLADE: Benchmarking Language Model Agents for Data-Driven Science. - Ken Gu; Ruoxi Shang; Ruien Jiang; Keying Kuang; Richard-John Lin; Donghe Lyu; Yue Mao; Youran Pan; Teng Wu; Jiaqian Yu; Yikun Zhang; Tianmai M. Zhang; et al. (EMNLP (Findings), 2024)

Language Models Still Struggle to Zero-shot Reason about Time Series. - Mike A. Merrill; Mingtian Tan; Vinayak Gupta; Thomas Hartvigsen; Tim Althoff (EMNLP (Findings), 2024)

Are Language Models Actually Useful for Time Series Forecasting? - Mingtian Tan; Mike A. Merrill; Vinayak Gupta; Tim Althoff; Tom Hartvigsen (NeurIPS, 2024)

Transforming Wearable Data into Health Insights using Large Language Model Agents. - Mike A. Merrill; Akshay Paruchuri; Naghmeh Rezaei; Geza Kovacs; Javier Perez Matos; Yun Liu 013; Erik Schenck; Nova Hammerquist; Jake Sunshine; Shyam A. Tailor; Kumar Ayush; Hao-Wei Su; et al. (CoRR, 2024)

Multimodal Models of Time Series and Text - Mike A. Merrill (2025)

Inferring Event Descriptions from Time Series with Language Models. - Mingtian Tan; Mike A. Merrill; Zack Gottesman; Tim Althoff; David Evans; Tom Hartvigsen (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)