Choi, Caroline

6 publications

ICLR 2026 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, Zayne Rea Sprague, Ashima Suvarna, Benjamin Feuer, Leon 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, Stutee Acharya, 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, Alex Dimakis, Ludwig Schmidt

TMLR 2024 Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

NeurIPSW 2023 AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data Caroline Choi, Yoonho Lee, Annie S Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn

ICLRW 2023 Conservative Prediction via Transductive Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

NeurIPS 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei W Koh, Chelsea Finn

ICMLW 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Yoonho Lee, Pang Wei Koh, Chelsea Finn