Papers by Ingo Frommholz

2 papers
Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels (2024.eacl-srw)

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Challenge: generative Large Language Models (LLMs) are capable of producing human-like texts, but they pose challenges related to the authenticity of the text documents.
Approach: They propose a modified GANBERT-based model to improve the classification of forged novels via the Forged Novels Generator and the generator in GAN.
Outcome: The proposed model improves classification of forged novels in two data-augmentation aspects.
Error Analysis of NLP Models and Non-Native Speakers of English Identifying Sarcasm in Reddit Comments (2024.lrec-main)

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Challenge: sarcasm detection remains an issue for both humans and natural language processing models .
Approach: They analysed 300 comments from the FigLang 2020 Reddit Dataset and 39 non-native speakers of English to see if they were sarcastic.
Outcome: The results show that the models and models have similar performance and weaknesses when the comments include political topics or are phrased as questions.

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