Emre Can AcikgozI am a research fellow at KUIS AI Center and MSc student in the School of Computer Science at Koc University. I work on Deep Learning, Natural Language Processing, and Multimodal Learning. My advisors are Deniz Yuret and Aykut Erdem. Prior to my MSc, I received my BSc in Electrical and Electronics Engineering (AI focus) from Koc University, where I worked under the supervision of Deniz Yuret on supervised and unsupervised morphological analysis. Email / GitHub / HuggingFace / Google Scholar / LinkedIn "The show was successful because I micromanaged it — every word, every line, every take, every edit, every casting. That’s my way of life." – Seinfeld |
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ResearchMy research is in foundational models, language modeling, and embodied intelligence. |
2024 |
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ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language ModelsIlker Kesen, Andrea Pedrotti, Mustafa Dogan, Michele Cafagna, Emre Can Acikgoz, Letitia Parcalabescu, Iacer Calixto, Anette Frank, Albert Gatt, Aykut Erdem, Erkut Erdem ICLR, 2024 arxiv / code / website ViLMA (Video Language Model Assessment) presents a comprehensive benchmark for Video-Language Models, starting with a fundamental comprehension test and followed by a more advanced evaluation for temporal reasoning skills. |
2022 |
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Transformers on Multilingual Clause-Level MorphologyEmre Can Acikgoz, Tilek Chubakov, Müge Kural, Gözde Gül Şahin, Deniz Yuret EMNLP Workshop, 2022 arxiv / code / slides This paper describes the winning approaches in MRL: The 1st Shared Task on Multilingual Clause-level Morphology. Our submission, which excelled in all three parts of the shared task — inflection, reinflection, and analysis — won the first prize in each category. |
Tutor
Comp547: Deep Unsupervised Learning (Spring'24) |
Talks
Huawei NLP/ML Community Seminer Series: Morphological Analysis with Large Language Models (2022, Virtual) |
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