Mayee F. Chen - RankMe

37 papers A* 11A 2Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Olmix: A Framework for Data Mixing Throughout LM Development. CoRR Mayee F. Chen, Tyler Murray, David Heineman, Matt Jordan, Hannaneh Hajishirzi, Christopher Ré, Luca Soldaini, Kyle Lo
2025	A*	`conf`	Aioli: A Unified Optimization Framework for Language Model Data Mixing. ICLR Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2025	A*	`conf`	An Architecture Search Framework for Inference-Time Techniques. ICML 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
2025	J	`jnl`	Olmo 3. CoRR Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025	J	`jnl`	Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR 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
2024	J	`jnl`	Aioli: A Unified Optimization Framework for Language Model Data Mixing. CoRR Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2024	J	`jnl`	Archon: An Architecture Search Framework for Inference-Time Techniques. CoRR 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
2024	J	`jnl`	Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates. CoRR Avanika Narayan, Mayee F. Chen, Kush Bhatia, Christopher Ré
2024	A*	`conf`	DataComp-LM: In search of the next generation of training sets for language models. NeurIPS 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, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	DataComp-LM: In search of the next generation of training sets for language models. CoRR Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	A*	`conf`	Smoothie: Label Free Language Model Routing. NeurIPS Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Ré
2024	J	`jnl`	Smoothie: Label Free Language Model Routing. CoRR Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Ré
2023	A*	`conf`	A case for reframing automated medical image classification as segmentation. NeurIPS Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré
2023	A*	`conf`	Ask Me Anything: A simple strategy for prompting language models. ICLR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré
2023	A*	`conf`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	J	`jnl`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	J	`jnl`	Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
2023	A*	`conf`	Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
2022	J	`jnl`	An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks. IEEE Trans. Netw. Sci. Eng. Mayee F. Chen, Miklós Z. Rácz
2022	J	`jnl`	Ask Me Anything: A simple strategy for prompting language models. CoRR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
2022	A*	`conf`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	—	`conf`	Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré
2022	J	`jnl`	Resonant Anomaly Detection with Multiple Reference Datasets. CoRR Mayee F. Chen, Benjamin Nachman, Frederic Sala
2022	J	`jnl`	Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	A	`conf`	Shoring up the foundations: fusing model embeddings and weak supervision. UAI Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	—	`conf`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2022	J	`jnl`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2021	A	`conf`	Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
2021	J	`jnl`	Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
2021	A*	`conf`	Mandoline: Model Evaluation under Distribution Shift. ICML Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	Mandoline: Model Evaluation under Distribution Shift. CoRR Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2020	A*	`conf`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Network disruption: maximizing disagreement and polarization in social networks. CoRR Mayee F. Chen, Miklós Z. Rácz
2020	J	`jnl`	Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
2014	—	`conf`	Efficient GCD Computation for Big Integers on Xeon Phi Coprocessor. NAS Jie Chen, William Watson, Mayee F. Chen