Papers by Ingo Frommholz
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. |