Style de citation APA (7e éd.)

Maggini, M. J., Merzougui, D., Bandyopadhyay, R., Dias, G., Maurel, F., & Gamallo, P. (2025). Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning.

Style de citation Chicago (17e éd.)

Maggini, Michele Joshua, Dhia Merzougui, Rabiraj Bandyopadhyay, Gaël Dias, Fabrice Maurel, et Pablo Gamallo. Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning Vs. Fine-Tuning. 2025.

Style de citation MLA (9e éd.)

Maggini, Michele Joshua, et al. Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning Vs. Fine-Tuning. 2025.