Efficient GCD Computation for Big Integers on Xeon Phi Coprocessor. - Jie Chen; William Watson; Mayee F. Chen (NAS, 2014)

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. - Daniel Y. Fu; Mayee F. Chen; Frederic Sala; Sarah M. Hooper; Kayvon Fatahalian; Christopher Ré (ICML, 2020)

Network disruption: maximizing disagreement and polarization in social networks. - Mayee F. Chen; Miklós Z. Rácz (CoRR, 2020)

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. - Mayee F. Chen; Daniel Y. Fu; Frederic Sala; Sen Wu 002; Ravi Teja Mullapudi; Fait Poms; Kayvon Fatahalian; Christopher Ré (CoRR, 2020)

Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. - Mayee F. Chen; Benjamin Cohen-Wang; Stephen Mussmann; Frederic Sala; Christopher Ré (AISTATS, 2021)

Mandoline: Model Evaluation under Distribution Shift. - Mayee F. Chen; Karan Goel; Nimit Sharad Sohoni; Fait Poms; Kayvon Fatahalian; Christopher Ré (ICML, 2021)

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. - Megan Leszczynski; Daniel Y. Fu; Mayee F. Chen; Christopher Ré (ACL (Findings), 2022)

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. - Mayee F. Chen; Daniel Y. Fu; Avanika Narayan; Michael Zhang; Zhao Song 002; Kayvon Fatahalian; Christopher Ré (ICML, 2022)

Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. - Khaled Saab 002; Sarah M. Hooper; Mayee F. Chen; Michael Zhang; Daniel L. Rubin; Christopher Ré (MLHC, 2022)

Shoring up the foundations: fusing model embeddings and weak supervision. - Mayee F. Chen; Daniel Y. Fu; Dyah Adila; Michael Zhang; Frederic Sala; Kayvon Fatahalian; Christopher Ré (UAI, 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Frederic Sala; Christopher Ré (CoRR, 2022)

Resonant Anomaly Detection with Multiple Reference Datasets. - Mayee F. Chen; Benjamin Nachman; Frederic Sala (CoRR, 2022)

An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks. - Mayee F. Chen; Miklós Z. Rácz (IEEE Trans. Netw. Sci. Eng., 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Christopher Ré (ICLR, 2023)

Skill-it! A data-driven skills framework for understanding and training language models. - Mayee F. Chen; Nicholas Roberts; Kush Bhatia; Jue Wang; Ce Zhang 001; Frederic Sala; Christopher Ré (NeurIPS, 2023)

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. - Neel Guha; Mayee F. Chen; Kush Bhatia; Azalia Mirhoseini; Frederic Sala; Christopher Ré (NeurIPS, 2023)

A case for reframing automated medical image classification as segmentation. - Sarah M. Hooper; Mayee F. Chen; Khaled Saab 002; Kush Bhatia; Curtis P. Langlotz; Christopher Ré (NeurIPS, 2023)

Smoothie: Label Free Language Model Routing. - Neel Guha; Mayee F. Chen; Trevor Chow; Ishan S. Khare; Christopher Ré (NeurIPS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Archon: An Architecture Search Framework for Inference-Time Techniques. - Jon Saad-Falcon; Adrian Gamarra Lafuente; Shlok Natarajan; Nahum Maru; Hristo Todorov; Etash Kumar Guha; Estefany Kelly Buchanan; Mayee F. Chen; Neel Guha; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates. - Avanika Narayan; Mayee F. Chen; Kush Bhatia; Christopher Ré (CoRR, 2024)

Aioli: A Unified Optimization Framework for Language Model Data Mixing. - Mayee F. Chen; Michael Y. Hu; Nicholas Lourie; Kyunghyun Cho; Christopher Ré (ICLR, 2025)

Shrinking the Generation-Verification Gap with Weak Verifiers. - Jon Saad-Falcon; Estefany Kelly Buchanan; Mayee F. Chen; Tzu-Heng Huang; Brendan McLaughlin; Tanvir Bhathal; Shang Zhu; Ben Athiwaratkun; Frederic Sala; Scott W. Linderman; Azalia Mirhoseini; Christopher Ré (CoRR, 2025)