79 citations · 241 across the 27 of their papers we have counts for
5 papers · 1 filter
Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
Veronika Hackl, Alexandra Elena Müller, Michael Granitzer +1
This study investigates the consistency of feedback ratings generated by OpenAI's GPT-4, a state-of-the-art artificial intelligence language model, across multiple iterations, time…
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators
Ousmane Touat, Julian Stier, Pierre-Edouard Portier +1
A wide variety of generative models for graphs have been proposed. They are used in drug discovery, road networks, neural architecture search, and program synthesis. Generating gra…
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping
Sahib Julka, Michael Granitzer
Planetary science research involves analysing vast amounts of remote sensing data, which are often costly and time-consuming to annotate and process. One of the essential tasks in…
Technical Report: Impact of Position Bias on Language Models in Token Classification
Mehdi Ben Amor, Michael Granitzer, Jelena Mitrović
Language Models (LMs) have shown state-of-the-art performance in Natural Language Processing (NLP) tasks. Downstream tasks such as Named Entity Recognition (NER) or Part-of-Speech…
German BERT Model for Legal Named Entity Recognition
Harshil Darji, Jelena Mitrović, Michael Granitzer
The use of BERT, one of the most popular language models, has led to improvements in many Natural Language Processing (NLP) tasks. One such task is Named Entity Recognition (NER) i…