Google PhD Fellow at @uncnlp. Interested in interpretable ML, natural language processing, AI Safety, and Effective Altruism.
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May 6, 2024 · I have defended my thesis ! Thanks to my advisor @mohitban47 and so many others for all the help along the way.
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Feb 14, 2024 · For this week's NLP Seminar, we are thrilled to host @peterbhase to talk about "Controlling and Editing Knowledge in Large Language Models"!
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Apr 10, 2024 · Today we're joined by @peterbhase from @uncnlp to discuss mechanistic interpretability, scalable oversight, and how matrix probing techniques ...
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7 days ago · Can LLMs generalize from easy to hard problems? Models actually solve college test questions when trained on 3rd grade questions! New paper: ...
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You can also find me at the first poster session Wednesday, Halle B #270, talking about deleting/unlearning info from LLMs -- spotlight ...
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Jan 16, 2024 · Peter Hase · @peterbhase. These results are robust across model scale. Easy data and hard data are similarly effective across model sizes. 5/6.
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Peter Hase peterbhase. Follow. I am a PhD student in the UNC-NLP group at UNC Chapel Hill. 36 followers · 0 following. Chapel Hill; https://peterbhase.github.io ...
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