Li, Margaret

6 publications

ICLR 2025 (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning Margaret Li, Sneha Kudugunta, Luke Zettlemoyer

NeurIPS 2025 Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond) Liwei Jiang, Yuanjun Chai, Margaret Li, Mickel Liu, Raymond Fok, Nouha Dziri, Yulia Tsvetkov, Maarten Sap, Yejin Choi

NeurIPS 2025 FlexOLMo: Open Language Models for Flexible Data Use Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Jacob Morrison, Evan Pete Walsh, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Mike Lewis, Wen-tau Yih, Dirk Groeneveld, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min

NeurIPS 2025 Precise Information Control in Long-Form Text Generation Jacqueline He, Howard Yen, Margaret Li, Shuyue Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer

ICLR 2024 In-Context Pretraining: Language Modeling Beyond Document Boundaries Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis

NeurIPSW 2022 Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer