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Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25

Our paper entitled, “Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution,” has been accepted at the 2025 International Conference on Fundamental Approaches to Software Engineering (FASE) as a formal tool demonstration! Out of 31 papers (including 4 tool papers), 11 (including 1 tool paper) were accepted, amounting to a 35% acceptance rate. Congrats to Tatiana, Mehdi, Nan, and Anita!

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