Shreyas Meher and Patrick T. Brandt demonstrate how state-of-the-art language models can be efficiently adapted for political event classification, achieving up to 1400% improvement in accuracy while remaining computationally accessible.
Read more here: journals.sagepub.com/doi/full/10....
We present ConflLlama, demonstrating how efficient fine-tuning of large language models can advance automated classification tasks in political science research...
