While LLMs have been extensively studied on general text generation tasks, there is less research on text rewriting, a task related to general text generation, and particularly on the behavior of models on this task. In this paper we analyze what changes LLMs make in a text rewriting setting. We focus specifically on argumentative texts and their improvement, a task named Argument Improvement (ArgImp). We present CLEAR: an evaluation pipeline consisting of 57 metrics mapped to four linguistic levels: lexical, syntactic, semantic and pragmatic. This pipeline is used to examine the qualities of LLM-rewritten arguments on a broad set of argumentation corpora and compare the behavior of different LLMs on this task and analyze the behavior of different LLMs on this task in terms of linguistic levels. By taking all four linguistic levels into consideration, we find that the models perform ArgImp by shortening the texts while simultaneously increasing average word length and merging sentences. Overall we note an increase in the persuasion and coherence dimensions.

We present ARTIST, a learning support system that can help students assess their argumentative writing and provide automated, individual feedback, thus improving their writing performance. It analyzes student-written argumentative texts by identifying argument components and their relationships. The resulting argumentative discourse structure is displayed in an interactive interface. In that way, the ARTIST tool provides immediate and personalized visual feedback on the quality of students’ texts, supporting self-monitoring and reflection on how to improve their texts.

Payment mechanisms are important factors for the use and diffusion of technological innovation. Nevertheless, there is a lack of knowledge and empirical evidence about the payment instruments and mechanisms used for technological innovation in the inpatient sector across European health care systems. Given this background, this articles discusses the relationships between DRG-based payment systems and technological innovation. Moreover, it analyses available short-term payment instruments for technological innovation and their application across eleven European countries. The article also scrutinizes how technological innovations are integrated into DRG-based payment systems in the long run. We fi nd that long term mechanisms differ with respect to i) the frequency of system updates, and ii) the time-lag to the data used for these updates. Our analysis suggests that one can differentiate between different kinds of short-term payment instruments: on the one hand some countries apply separate payments outside the core scope of DRG-based payment systems. On the other hand countries provide additional payments and cost-outlier funding that operates within the framework or at the margin of DRG-based payment systems. Overall, our analysis suggests that payment approaches in the context of DRG-based pay-ment systems differ substantially across European health care systems. German as well as other European policy makers should pay more attention to the diversity of payment approaches across European health care systems to inform their policy making.