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Roman Rietsche

2 accepted papers

2023

Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance

EMNLP 2023long findings

Large Language Models (LLMs) are increasingly utilized in educational tasks such as providing writing suggestions to students. Despite their potential, LLMs are known to harbor inherent biases which may negatively impact learners. Previous studies have investigated bias in models and data representa…

Cited by 0SourcecodeScholar
2022

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

COLING 2022main

Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in different domains, they are limited in address…