Frederic Kirstein

According to our database, Frederic Kirstein authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions.

Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp

CoRR, September, 2025

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization.

Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas

J. Artif. Intell. Res., 2025

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint).

Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator.

Frederic Thomas Kirstein, Terry Lima Ruas, Bela Gipp

Proceedings of the 31st International Conference on Computational Linguistics, 2025

What's Wrong? Refining Meeting Summaries with LLM Feedback.

Frederic Thomas Kirstein, Terry Lima Ruas, Bela Gipp

Proceedings of the 31st International Conference on Computational Linguistics, 2025

You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with Multi-Agent Conversations.

Frederic Kirstein, Muneeb Khan, Jan Philip Wahle, Terry Ruas, Bela Gipp

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

What's under the hood: Investigating Automatic Metrics on Meeting Summarization.

Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization.

Frederic Kirstein, Terry Ruas, Robert Kratel, Bela Gipp

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2022

Analyzing Multi-Task Learning for Abstractive Text Summarization.

Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

CoRR, 2022

How Large Language Models are Transforming Machine-Paraphrased Plagiarism.

Jan Philip Wahle, Terry Ruas, Frederic Kirstein, Bela Gipp

CoRR, 2022

How Large Language Models are Transforming Machine-Paraphrase Plagiarism.

Jan Philip Wahle, Terry Ruas, Frederic Kirstein, Bela Gipp

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022