Meet the research team behind MAUVE, an automated metric that measures the gap between neural text and human text. Show notes: Project Page: https://krishnap25.github.io/mauve-overview/Software (pip package): https://krishnap25.github.io/mauve/Software (via HuggingFace Evaluate): https://huggingface.co/spaces/evaluate-metric/mauvePapers: JMLR 2023, NeurIPS 2021a (Outstanding Paper Award), NeurIPS 2021b

Episode 01: Mauve

The Institute for Foundations of Machine Learning (IFML) is the foremost academic center for developing cutting-edge algorithms that power generative AI.  Join us on the IFML Podcast as hosts Adam Klivans and Alex Dimakis talk to leading researchers about innovative tools that are shaping the future of AI and machine learning.

Headquartered at The University of Texas at Austin, IFML researchers collaborate across an ecosystem that spans University of Washington, Microsoft Research, and Wichita State University. Together, the teams conduct foundational research that has the potential to positively impact the lives of every person on the planet.

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The Institute for Foundations of Machine Learning (IFML) is the foremost academic center for developing cutting-edge algorithms that power generative AI. Join us on the IFML Podcast as hosts Adam Klivans and Alex Dimakis talk to leading researchers about innovative tools that are shaping the future of AI and machine learning. Headquartered at The University of Texas at Austin, IFML researchers collaborate across an ecosystem that spans University of Washington, Microsoft Research, and Wichita State University. Together, the teams conduct foundational research that has the potential to positively impact the lives of every person on the planet.

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The IFML Podcast

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