Simret Araya Gebreegziabher
ስምረት አርአያ ገብረእግዚአብሄር

I am a third year Ph.D. student at the University of Notre Dame advised by Prof. Toby Li. My research focuses on Human-AI interaction. Specifically, I use cognitive learning theories to design and evaluate tools that support humans and AI collaborate in ambiguois and uncertain settings. Grounded in cognitive learning theories, my work explores how to support users in aligning their intentions, preferences and values during model training, fine-tuning, and evaluation processes. Prior to this I got my Bachelor of Science from Addis Ababa University in Software Engineering.

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Selected Publication

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

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

MOCHA: Model Optimization through Collaborative Human-AI Alignment

UIST24 DEMO [paper] [video]

Simret A Gebreegziabher, Elena L. Glassman, Toby Jia-jun Li

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning

[paper] [code]

Simret A Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, Toby Jia-jun Li

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

CHI23 [paper] [code] [pip]

Simret A Gebreegziabher*, Zheng Zhang*, Xiaohang Tang, Yihao Meng, Elena L. Glassman, Toby Jia-jun Li

Research and Recorded Talks

Probablistic NLP for Spoken Amharic

Simret A Gebreegziabher - lecture from Delta Analytics Global Teaching Fellowship 2021

Random Forest Based AI Classifier and Explainer

Simret A Gebreegziabher, Aymen J Ahmed, Andrew McCrabb, Valeria Bertacco

Composable Benchmarking

Simret A Gebreegziabher, Aymen J Ahmed, Pete Ehreet , Valeria Bertacco
News

[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!