3 papers
cs.CL2026
A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries
Kyuri Im, Michael Färber
Interdisciplinary research is accelerating, yet scientific papers remain difficult to understand outside their home fields. We study large language model (LLM)-based simplification…
cs.CL2026
Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification
Kyuri Im, Shuzhou Yuan, Michael Färber
While large language models (LLMs) have increasingly been applied to hate speech detoxification, the prompts often trigger safety alerts, causing LLMs to refuse the task. In this s…
cs.CL2025
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
Michael Färber, Parisa Aghdam, Kyuri Im +2
Text simplification is essential for making complex content accessible to diverse audiences who face comprehension challenges. Yet, the limited availability of simplified materials…