On 13 November 2025, Martin Bánóczy delivered a lecture at the HUN-REN Centre in Budapest as part of the “HUN-REN Cloud Meetup”. His presentation, titled Optimising the Fine-Tuning of Large Language Models, addressed key challenges in computational social science, with a focus on improving the efficiency of text classification tasks. He outlined the limitations of manual coding and presented machine-learning-based solutions developed within the Babel Machine project. Bánóczy discussed three major classification tasks: the Comparative Agendas Project, its extension using an enhanced codebook for media analysis, and a further expansion incorporating media-specific coding schemes. He examined factors affecting model performance and highlighted obstacles that complicate multilingual fine-tuning processes.
