Scholar
Tadesse Destaw Belay
Google Scholar ID: 8S7ilV0AAAAJ
Ph.D. candidate IPN, Mexico
NLP for Low-resource languages
Machine learning
and LLMs
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Homepage
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Citations & Impact
All-time
Citations
342
H-index
9
i10-index
9
Publications
20
Co-authors
15
list available
Contact
No contact links provided.
Publications
16 items
AfrIFact: Cultural Information Retrieval, Evidence Extraction and Fact Checking for African Languages
2026
Cited
0
MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation
2026
Cited
0
Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review
2025
Cited
0
Evaluation Sheet for Deep Research: A Use Case for Academic Survey Writing
2025
Cited
0
The Rise of AfricaNLP: Contributions, Contributors, and Community Impact (2005-2025)
2025
Cited
0
Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages
2025
Cited
0
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
2025
Cited
0
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published paper 'A New Approach to Deep Learning in Image Recognition' in the International Journal of Computer Vision, 2020
- Received IEEE Best Paper Award, 2021
- Holds two US patents
Research Experience
- Software Engineer, Google, 2019-Present
- Participated in multiple research projects, including the application of machine learning in healthcare
Education
- Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Zhang, 2015-2019
- M.S., Harvard University, Applied Mathematics, 2012-2014
- B.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2008-2012
Background
- Research Interests: Computer Science and Artificial Intelligence
- Professional Field: Software Engineering, Data Science
- Introduction: Focuses on developing innovative algorithms to solve real-world problems.
Miscellany
- Enjoys reading science fiction and hiking
Co-authors
15 total
Seid Muhie Yimam (ሰይድ ሙሄ ይማም)
Technical lead at HCDS and research associate at LT Group, University of Hamburg
Atnafu Lambebo Tonja
Postdoc at MBZUAI
Israel Abebe Azime
Saarland University
Olga Kolesnikova
Centro de Investigación en Computación (CIC) del Instituto Politécnico Nacional, Mexico
Chris Biemann
Professor for Language Technology, University of Hamburg
Grigori Sidorov
Professor of Computational Linguistics, Instituto Politécnico Nacional (IPN), Mexico
Shamsuddeen Hassan Muhammad
Bayero University, Kano, & Google DeepMind Academic Fellow at Imperial College London
Philipp Slusallek
Professor for Computer Graphics, Saarland University & DFKI, Saarland Informatics Campus
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