Yurochkin, Mikhail

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Ludwig, H., Baracaldo, N., Thomas, G., Zhou, Y., Anwar, A., Rajamoni, S., Ong, Y., Radhakrishnan, J., Verma, A., Sinn, M., et al. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

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Efficient multi-prompt evaluation of LLMs

Polo, F., Xu, R., Weber, L., Silva, M., Bhardwaj, O., Choshen, L., Oliveira, A. D., Sun, Y., & Yurochkin, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

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tinyBenchmarks: evaluating LLMs with fewer examples

Polo, F. M., Weber, L., Choshen, L., Sun, Y., Xu, G., & Yurochkin, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

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CARROT: A Cost Aware Rate Optimal Router

Somerstep, S., Polo, F. M., de Oliveira, A. F. M., Mangal, P., Silva, M., Bhardwaj, O., Yurochkin, M., & Maity, S. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

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