How large language models are transforming machine-paraphrased plagiarism JP Wahle, T Ruas, F Kirstein, B Gipp arXiv preprint arXiv:2210.03568, 2022 | 56 | 2022 |
Analyzing multi-task learning for abstractive text summarization F Kirstein, JP Wahle, T Ruas, B Gipp arXiv preprint arXiv:2210.14606, 2022 | 7 | 2022 |
What's under the hood: Investigating Automatic Metrics on Meeting Summarization F Kirstein, JP Wahle, T Ruas, B Gipp arXiv preprint arXiv:2404.11124, 2024 | 4 | 2024 |
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization F Kirstein, JP Wahle, B Gipp, T Ruas arXiv preprint arXiv:2406.07494, 2024 | 3 | 2024 |
What's Wrong? Refining Meeting Summaries with LLM Feedback F Kirstein, T Ruas, B Gipp arXiv preprint arXiv:2407.11919, 2024 | 2 | 2024 |
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator F Kirstein, T Ruas, B Gipp arXiv preprint arXiv:2411.18444, 2024 | | 2024 |
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization F Kirstein, T Ruas, R Kratel, B Gipp arXiv preprint arXiv:2410.14545, 2024 | | 2024 |
DEEP LEARNING APPROACH FOR AN AUTOMATIC ABSTRACTIVE TEXT SUMMURIZATION S Sapra Authorea Preprints, 2023 | | 2023 |