2 citations · 2 across the 3 of their papers we have counts for
4 papers
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
Mehmet Arif Demirtaş, Claire Zheng, Max Fowler +1
To complete an open-ended programming exercise, students need to both plan a high-level solution and implement it using the appropriate syntax. However, these problems are often au…
PLAID: Supporting Computing Instructors to Identify Domain-Specific Programming Plans at Scale
Yoshee Jain, Mehmet Arif Demirtaş, Kathryn Cunningham
Pedagogical approaches focusing on stereotypical code solutions, known as programming plans, can increase problem-solving ability and motivate diverse learners. However, plan-focus…
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos
Alexander Waibel, Moritz Behr, Fevziye Irem Eyiokur +7
In this paper, we propose a neural end-to-end system for voice preserving, lip-synchronous translation of videos. The system is designed to combine multiple component models and pr…
Predicting cognitive scores with graph neural networks through sample selection learning
Martin Hanik, Mehmet Arif Demirtaş, Mohammed Amine Gharsallaoui +1
Analyzing the relation between intelligence and neural activity is of the utmost importance in understanding the working principles of the human brain in health and disease. In exi…