4 papers
German4All -- A Dataset and Model for Readability-Controlled Paraphrasing in German
Miriam Anschütz, Thanh Mai Pham, Eslam Nasrallah +3
The ability to paraphrase texts across different complexity levels is essential for creating accessible texts that can be tailored toward diverse reader groups. Thus, we introduce…
Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions
Lukas Ellinger, Miriam Anschütz, Georg Groh
Large Language Models (LLMs) can provide accurate word definitions and explanations for any context. However, the scope of the definition changes for different target groups, like…
TUM-MiKaNi at SemEval-2025 Task 3: Towards Multilingual and Knowledge-Aware Non-factual Hallucination Identification
Miriam Anschütz, Ekaterina Gikalo, Niklas Herbster +1
Hallucinations are one of the major problems of LLMs, hindering their trustworthiness and deployment to wider use cases. However, most of the research on hallucinations focuses on…
Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication
Miriam Anschütz, Tringa Sylaj, Georg Groh
Explanatory images play a pivotal role in accessible and easy-to-read (E2R) texts. However, the images available in online databases are not tailored toward the respective texts, a…