5 papers
Retrieving Climate Change Disinformation by Narrative
Max Upravitelev, Veronika Solopova, Charlott Jakob +3
Detecting climate disinformation narratives typically relies on fixed taxonomies, which do not accommodate emerging narratives. Thus, we re-frame narrative detection as a retrieval…
Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
Lynn Janzen, Ãveys Eroglu, Dorothea Kolossa +4
LLMs are increasingly embedded in programming workflows, from code generation to automated code review. Yet, how gendered communication styles interact with LLM-assisted programmin…
Evaluating Parkinson's Disease Detection in Anonymized Speech: A Performance and Acoustic Analysis
Carlos Franzreb, Francisco Teixeira, Ben Luks +2
Automatic detection of Parkinson's disease (PD) from speech is a promising non-invasive diagnostic tool, but it raises significant privacy concerns. Speaker anonymization mitigates…
How desirable is alignment between LLMs and linguistically diverse human users?
Pia Knoeferle, Sebastian Möller, Dorothea Kolossa +2
We discuss how desirable it is that Large Language Models (LLMs) be able to adapt or align their language behavior with users who may be diverse in their language use. User diversi…
Reward Modeling with Weak Supervision for Language Models
Ben Hauptvogel, Malte Ostendorff, Georg Rehm +1
Recent advancements in large language models (LLMs) have led to their increased application across various tasks, with reinforcement learning from human feedback (RLHF) being a cru…