4 papers
Statistical Multicriteria Evaluation of LLM-Generated Text
Esteban Garces Arias, Hannah Blocher, Julian Rodemann +2
Assessing the quality of LLM-generated text remains a fundamental challenge in natural language processing. Current evaluation approaches often rely on isolated metrics or simplist…
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
Esteban Garces Arias, Hannah Blocher, Julian Rodemann +3
Open-ended text generation has become a prominent task in natural language processing due to the rise of powerful (large) language models. However, evaluating the quality of these…
Union-Free Generic Depth for Non-Standard Data
Hannah Blocher, Georg Schollmeyer
Non-standard data, which fall outside classical statistical data formats, challenge state-of-the-art analysis. Examples of non-standard data include partial orders and mixed catego…
Data depth functions for non-standard data by use of formal concept analysis
Hannah Blocher, Georg Schollmeyer
In this article we introduce a notion of depth functions for data types that are not given in standard statistical data formats. We focus on data that cannot be represented by one…