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Mikhail Yurochkin

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Aligners: Decoupling LLMs and Alignment

Mar 11, 2024
Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin

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Asymmetry in Low-Rank Adapters of Foundation Models

Feb 27, 2024
Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

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tinyBenchmarks: evaluating LLMs with fewer examples

Feb 22, 2024
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

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Uncertainty Quantification via Stable Distribution Propagation

Feb 13, 2024
Felix Petersen, Aashwin Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin

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Estimating Fréchet bounds for validating programmatic weak supervision

Dec 07, 2023
Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun

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Risk Assessment and Statistical Significance in the Age of Foundation Models

Oct 11, 2023
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jerret Ross

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GeRA: Label-Efficient Geometrically Regularized Alignment

Oct 07, 2023
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon

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An Investigation of Representation and Allocation Harms in Contrastive Learning

Oct 02, 2023
Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

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Fusing Models with Complementary Expertise

Oct 02, 2023
Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin

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Large Language Model Routing with Benchmark Datasets

Sep 27, 2023
Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin

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