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 into human-understandable algorithms.

News

• [Aug. 2024] Paper accepted in ACL 24.
• [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

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

• Served as a reviewer for AAAI’25, ARR June’24, AAAI’24
• Served as a secondary reviewer for NeurIPS’23

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