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Co-authored-by: Safoora Yousefi <[email protected]>
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README.md

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# Eureka ML Insights Framework
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<a href='https://arxiv.org/abs/2409.10566'>
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<img src=https://img.shields.io/badge/arXiv-2409.10566-b31b1b.svg>
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<a href='https://arxiv.org/pdf/2504.00294'>
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<a href='https://huggingface.co/datasets/microsoft/Eureka-Bench-Logs/tree/main'>
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<img src=https://huggingface.co/front/assets/huggingface_logo-noborder.svg width="16">
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Eureka Evaluation Logs
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<a href='https://microsoft.github.io/eureka-ml-insights'>
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Project Website
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<a href='https://arxiv.org/abs/2409.10566'><img src=https://img.shields.io/badge/arXiv-2409.10566-b31b1b.svg></a>
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<a href='https://arxiv.org/pdf/2504.00294'><img src=https://img.shields.io/badge/arXiv-2504.00294-b31b1b.svg></a>
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<a href='https://huggingface.co/datasets/microsoft/Eureka-Bench-Logs/tree/main'><img src=https://huggingface.co/front/assets/huggingface_logo-noborder.svg width="16">Eureka Evaluation Logs</a>
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<a href='https://microsoft.github.io/eureka-ml-insights'><img src=docs/figures/github.png width="16">Project Website</a>
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This repository contains the code for the Eureka ML Insights framework. The framework is designed to help researchers and practitioners run reproducible evaluations of generative models using a variety of benchmarks and metrics efficiently. The framework allows the user to define custom pipelines for data processing, inference, and evaluation, and provides a set of pre-defined evaluation pipelines for key benchmarks.

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