1 citations · 2 across the 5 of their papers we have counts for
5 papers
Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments
Marc Felix Brinner, Sina Zarrieß
This study explores strategies for efficiently classifying scientific full texts using both small, BERT-based models and local large language models like Llama-3.1 8B. We focus on…
Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
Jennifer D'Souza, Zachary Laubach, Tarek Al Mustafa +3
This paper presents an exploratory study that harnesses the capabilities of large language models (LLMs) to mine key ecological entities from invasion biology literature. Specifica…
Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities
Florian Kankowski, Torgrim Solstad, Sina Zarriess +1
In this paper, we compare data generated with mono- and multilingual LLMs spanning a range of model sizes with data provided by human participants in an experimental setting invest…
GerPS-Compare: Comparing NER methods for legal norm analysis
Sarah T. Bachinger, Christoph Unger, Robin Erd +4
We apply NER to a particular sub-genre of legal texts in German: the genre of legal norms regulating administrative processes in public service administration. The analysis of such…
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions
Henrik Voigt, Jan Hombeck, Monique Meuschke +2
Existing language and vision models achieve impressive performance in image-text understanding. Yet, it is an open question to what extent they can be used for language understandi…