Preprint

Post-training adaptation of language models is commonly achieved through parameter updates or input-based methods such as fine-tuning, …

Art. 50 II of the EU Artificial Intelligence Act mandates dual transparency for AI-generated content outputs must be labeled in both …

LLMs are increasingly embedded in programming workflows, from code generation to automated code review. Yet, how gendered communication …

Predicting narrative similarity can be understood as an inherently interpretive task different, equally valid readings of the same text …

Detecting climate disinformation narratives typically relies on fixed taxonomies, which do not accommodate emerging narratives. Thus, …

For socially sensitive tasks like hate speech detection, the quality of explanations from Large Language Models (LLMs) is crucial for …

Despite advances in Natural Language Generation (NLG), evaluation remains challenging. Although various new metrics and LLM-as-a-judge …

Quantization is widely used to accelerate inference and streamline the deployment of large language models (LLMs), yet its effects on …

Counterfactuals refer to minimally edited inputs that cause a model’s prediction to change, serving as a promising approach to …

Fact-checking is necessary to address the increasing volume of misinformation. Traditional fact-checking relies on manual analysis to …