Mike A. Merrill

21 papers A* 3Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025	J	`jnl`	Inferring Event Descriptions from Time Series with Language Models. CoRR Mingtian Tan, Mike A. Merrill, Zack Gottesman, Tim Althoff, David Evans, Tom Hartvigsen
2025	—	`—`	Multimodal Models of Time Series and Text Mike A. Merrill
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	J	`jnl`	SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models. CoRR Ken Gu, Advait Bhat, Mike A. Merrill, Robert West, Xin Liu, Daniel McDuff, Tim Althoff
2024	A*	`conf`	Are Language Models Actually Useful for Time Series Forecasting? NeurIPS Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen
2024	J	`jnl`	Are Language Models Actually Useful for Time Series Forecasting? CoRR Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
2024	—	`conf`	BLADE: Benchmarking Language Model Agents for Data-Driven Science. EMNLP (Findings) 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
2024	J	`jnl`	BLADE: Benchmarking Language Model Agents for Data-Driven Science. CoRR 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
2024	—	`conf`	Language Models Still Struggle to Zero-shot Reason about Time Series. EMNLP (Findings) Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff
2024	J	`jnl`	Language Models Still Struggle to Zero-shot Reason about Time Series. CoRR Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff
2024	J	`jnl`	Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam A. Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu
2023	—	`conf`	Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff
2023	—	`conf`	Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CHIL Mike A. Merrill, Tim Althoff
2022	J	`jnl`	CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis. EPJ Data Sci. Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
2022	A*	`conf`	GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. NeurIPS Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey
2022	J	`jnl`	GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. CoRR Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey
2022	J	`jnl`	Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CoRR Mike A. Merrill, Tim Althoff
2021	A*	`conf`	MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. KDD Mike A. Merrill, Ge Zhang, Tim Althoff
2021	J	`jnl`	Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. CoRR Mike A. Merrill, Tim Althoff
2020	J	`jnl`	CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis. CoRR Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff