Daking Rai
About Me
Hi, I’am a PhD student at George Mason University, advised by Prof. Ziyu Yao. I research in the field of interpretability of neural networks and its practical usage. Although neural networks exhibit remarkable performance across a broad spectrum of tasks, their inherent opaqueness poses a significant challenge. This motivates my research to investigate the inner workings of neural networks through mechanistic interpretability, a subfield of interpretability that attempts to understand neural networks by reverse engineering them.
News
- [July. 2023] Recieved the Graduate Student Travel Fund from GMU!
- [May. 2023] Short paper accepted in ACL 23.
- [April. 2023] Volunteer for MASC-SLL 2023, an annual NLP event in the Mid-Atlantic area!
- [Feb. 2023] Presented poster in AAAI 23.
- [Nov. 2021] Student abstract accepted to AAAI 23.
Publications
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ACL
Annual Meeting of the Association for Computational Linguistics (ACL), 2023. -
ACL
AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program, 2023.
Services
Volunteers
Volunteer for "The 10th annual Mid-Atlantic Student Colloquium on Speech, Language and Learning" Volunteer for ”The third ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization ( EAAMO ‘23)”. Organizer and mentor on 10+ machine learning and deep learning workshops conducted by AI Developer Nepal, an AI community based in Kathmandu. Executive committee member (volunteer) for Rose Foundation Nepal, an NGO working to raise awareness about different types of cancers, especially breast cancer in Nepal.
Reviewers
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