Past member

Mike Merrill

PhD Student

Personal website

Publications

2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Inferring Events from Time Series using Language Models

Mingtian Tan, Mike A. Merrill, Zachary Gottesman, Tim Althoff, David Evans, Thomas Hartvigsen

2026 · ICLR 2026

SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models

Ken Gu, Advait Bhat, Mike Merrill, Robert West, Xin Liu, Daniel McDuff, Tim Althoff

2026 · Nature Communications

Transforming wearable data into personal health insights using large language model agents

Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu

2024 · NeurIPS

Are Language Models Actually Useful for Time Series Forecasting?

Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen

2024 · Findings of EMNLP

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, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff

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2024 · Findings of EMNLP

Language Models Still Struggle to Zero-shot Reason about Time Series

Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff

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2023 · Conference on Health, Inference, and Learning

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, Arinbjorn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff

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2023 · Conference on Health, Inference, and Learning

Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets

Mike A. Merrill, Tim Althoff

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2022 · EPJ Data Science

CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis

Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff

2022 · NeurIPS

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret E. Morris, Eve Riskin, Jennifer Mankoff, Anind K. Dey

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2021 · KDD