2 papers
cs.CL2024
PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
Jonas Rieger, Mattes Ruckdeschel, Gregor Wiedemann
Few-shot learning and parameter-efficient fine-tuning (PEFT) are crucial to overcome the challenges of data scarcity and ever growing language model sizes. This applies in particul…
cs.CL2024
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates
Aida Kostikova, Benjamin Paassen, Dominik Beese +3
Solidarity is a crucial concept to understand social relations in societies. In this paper, we explore fine-grained solidarity frames to study solidarity towards women and migrants…