19 citations · 26 across the 4 of their papers we have counts for
4 papers
Exploring Distributional Shifts in Large Language Models for Code Analysis
Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao +1
We systematically study how three large language models with code capabilities - CodeT5, Codex, and ChatGPT - generalize to out-of-domain data. We consider two fundamental applicat…
NS3: Neuro-Symbolic Semantic Code Search
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis +3
Semantic code search is the task of retrieving a code snippet given a textual description of its functionality. Recent work has been focused on using similarity metrics between neu…
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks
Shushan Arakelyan, Sima Arasteh, Christophe Hauser +2
Tackling binary program analysis problems has traditionally implied manually defining rules and heuristics, a tedious and time-consuming task for human analysts. In order to improv…
Mining and Forecasting Career Trajectories of Music Artists
Shushan Arakelyan, Fred Morstatter, Margaret Martin +2
Many musicians, from up-and-comers to established artists, rely heavily on performing live to promote and disseminate their music. To advertise live shows, artists often use concer…