Mitarbeitendenverzeichnis

Beitrag im Sammelwerk

Linzbach, Stephan, Dimitar Dimitrov, Laura Kallmeyer, Kilian Evang, Hajira Jabeen, and Stefan Dietze. 2024. "Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models." In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Kevin Duh, Helena Gomez, and Steven Bethard, 3645–3655. Association for Computational Linguistics. doi: https://doi.org/10.18653/v1/2024.naacl-long.201. https://arxiv.org/html/2404.01992v1.

Linzbach, Stephan, Tim Tressel, Laura Kallmeyer, Stefan Dietze, and Hajira Jabeen. 2023. "Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models." In WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, edited by Ying Ding, Jie Tang, Juan Sequeda, Lora Aroyo, Carlos Castillo, and Geert-Jan Houben, 1145–1149. New York: ACM. doi: https://doi.org/10.1145/3543873.3587655.

Arbeits- und Diskussionspapier

Linzbach, Stephan. 2024. Hybrid Evaluation of Socratic Dialogue for Teaching. 2024 Harmonising Generative AI and Semantic Web Technologies, HGAIS 2024 - Baltimore, United States Duration: 13 Nov 2024 → 13 Nov 2024. CEUR workshop proceedings 3953. Baltimore: CEUR Workshop Proceedings.

Dietze, Stefan, Hajira Jabeen, Laura Kallmeyer, and Stephan Linzbach. 2023. Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models. Joint proceedings of the KBC-LM workshop and the LM-KBC challenge @ ISWC 2023 Vol-3577. urn: urn:nbn:de:0074-3577-1.

Daten/Software

Binder, Barbara, Stephan Linzbach, Frank Mangold, and Felix Schmidt. 2025. ALLBUS 2023 - DBD Add-On. doi: https://doi.org/10.4232/1.14453.

Konferenzbeitrag

Linzbach, Stephan, Dimitar Dimitrov, Laura Kallmeyer, Kilian Evang, Hajira Jabeen, and Stefan Dietze. 2024. "Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models." The 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL2024), Mexico City, Mexico, Association for Computational Linguistics., 2024-06-16. https://arxiv.org/html/2404.01992v1.

Linzbach, Stephan, Tim Tressel, Laura Kallmeyer, Stefan Dietze, and Hajira Jabeen. 2023. "Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models: In Companion Proceedings of the ACM Web Conference 2023." ACM Web Conference 2023, 2023-04-30. doi: https://doi.org/10.1145/3543873.3587655.