Erdem, Aykut

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning

Erdem, E., Kuyu, M., Yagcioglu, S., Frank, A., Parcalabescu, L., Plank, B., Babii, A., Turuta, O., Erdem, A., Calixto, I., et al. (2022) · Journal of Artificial Intelligence Research

Topic ModelingNatural Language Processing Techniques

Cited by 54

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare

Acikgoz, E. C., İnce, O. B., Bench, R., Boz, A. A., Kesen, İ., Erdem, A., & Erdem, E. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 3

CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions

Ates, T., Atesoglu, M. S., Yigit, C., Kesen, I., Kobas, M., Erdem, E., Erdem, A., Goksun, T., & Yuret, D. (2020) · arXiv

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 2