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Selected Publication |
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Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories [paper]
Simret A Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-jun Li |
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Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation [paper]
Annalisa Szymanski, Simret A Gebreegziabher, Oghenemaro Anuyah, Ronald A Metoyer, Toby Jia-jun Li |
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Research and Recorded Talks |
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Probablistic NLP for Spoken AmharicSimret A Gebreegziabher - lecture from Delta Analytics Global Teaching Fellowship 2021 |
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Random Forest Based AI Classifier and ExplainerSimret A Gebreegziabher, Aymen J Ahmed, Andrew McCrabb, Valeria Bertacco |
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Composable BenchmarkingSimret A Gebreegziabher, Aymen J Ahmed, Pete Ehreet , Valeria Bertacco |
[Aug 2024] I will be at UIST presenting our demo paper MOCHA: Model Optimization through Collaborative Human-AI Alignment 🤓.[Oct 2023] Finished my internship at Meta Reality Labs.[May 2023] Started my internship at Meta Reality Labs.[Feb 2023] Our paper PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis got into CHI 🎉 .[Jan 2022] Started my PhD at the University of Notre Dame.[Oct 2021] Graduated from Addis Ababa University, Bachelor of Science in Software Engineering with Great distinction.[Oct 2021] Gave my graduation lecture as a Global Teaching Fellow at Delta Analytics, watch it here![Apr 2021] Started as a Global Teaching Fellow at Delta Analytics.[May 2020] Started working as a research intern at University of Michigan, AURA2020.[Oct 2019] Organized the 1st AI in Ethiopia Conference, Read about it! |