2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
Laura Majer, Jan Šnajder
The increasing threat of disinformation calls for automating parts of the fact-checking pipeline. Identifying text segments requiring fact-checking is known as claim detection (CD)…
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić, Jan Šnajder
Enhancing generalization and uncertainty quantification in pre-trained language models (PLMs) is crucial for their effectiveness and reliability. Building on machine learning resea…
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma
Jana Juroš, Laura Majer, Jan Šnajder
News headlines often evoke sentiment by intentionally portraying entities in particular ways, making targeted sentiment analysis (TSA) of headlines a worthwhile but difficult task.…