3 papers
cs.CL2025
Context Parametrization with Compositional Adapters
Josip Jukić, Martin Tutek, Jan Šnajder
Large language models (LLMs) often seamlessly adapt to new tasks through in-context learning (ICL) or supervised fine-tuning (SFT). However, ICL is inefficient when handling many d…
cs.CL2025
What Makes You CLIC: Detection of Croatian Clickbait Headlines
Marija Anđelić, Dominik Šipek, Laura Majer +1
Online news outlets operate predominantly on an advertising-based revenue model, compelling journalists to create headlines that are often scandalous, intriguing, and provocative -…
cs.CL2024
Disentangling Latent Shifts of In-Context Learning with Weak Supervision
Josip Jukić, Jan Šnajder
In-context learning (ICL) enables large language models to perform few-shot learning by conditioning on labeled examples in the prompt. Despite its flexibility, ICL suffers from in…