Yeganeh Kordi

Yeganeh Kordi

About Me

Hi, I'm Yeganeh! I'm a PhD student at Brown University. I'm fortunate to be advised by Stephen Bach.

Before that, I graduated from Tehran Polytechnic in 2021 with a double bachelor's degree in Electrical Engineering and Computer Science. I've been collaborating with H2Lab at the University of Washington and Johns Hopkins University, and I had the privilege to be mentored by Daniel Khashabi and Yizhong Wang.

I am broadly interested in artificial intelligence, machine learning, and natural language processing. My research focuses on AI alignment, data-centric machine learning, and weak-to-strong generalization. I study how to improve language models through better data selection, filtering, and curation, to reduce the human effort required to make these systems useful.

If you have any questions about my work or research/academia/programming-related topics, please feel free to reach out!

Education

 
 
 
 
 
Tehran
PhD in Computer Science
Brown University
2023-Present
 
 
 
 
 
 
 
Tehran
BSc in Computer Engineering
Tehran Polytechnic
2018–2021
 
 
 
 
 
Tehran Polytechnic
BSc in Electrical Engineering
Tehran Polytechnic
2016–2020

Publications

[Google Scholar]

Tur[k]ingBench: A Challenge Benchmark for Web Agents


Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.
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Self-Instruct: Aligning Language Model with Self Generated Instructions.


Association for Computational Linguistics (ACL), 2023.
PDF Data

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.


Empirical Methods in Natural Language Processing (EMNLP), 2022.
♢ Co-first authors; ♣ Co-second authors
PDF Data Site

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training.


arXiv:2202.12359.
PDF Code