Mohammad Arvan
Ph.D. Candidate, CS Department, University of Illinois at Chicago
851 S. Morgan St.
Chicago, IL, 60607
Hey there! I’m Mohammad Arvan, a Ph.D. candidate in Computer Science at the University of Illinois at Chicago, under the supervision of Dr. Natalie Parde. My research is centered on improving the reliability of machine learning, with a particular focus on evaluation and reproducibility. I advocate for Open Science, emphasizing transparency, equity, and inclusivity in research practices. With a strong engineering background, I prioritize practical solutions to enhance the trustworthiness of machine learning technologies.
news
| Jun 12, 2022 | ‘Reproducibility of Exploring Neural Text Simplification Models: A Review’ was accepted at 15th International Natural Language Generation Conference |
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| Jan 2, 2021 | Ranked top 8% on Stackoverflow’s 2020 year rank |
| Dec 8, 2020 | Proud recipient of PGRA award ($5000) |
latest posts
| Nov 17, 2022 | Reproducibility: on why and how |
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selected publications
2023
- Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLPIn The Fourth Workshop on Insights from Negative Results in NLP, May 2023
2022
- Reproducibility in Computational Linguistics: Is Source Code Enough?In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, May 2022