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ORCIDSteffen Eger
- > Home > Persons > Steffen Eger
Publications
- 2024
[i70]Yanran Chen, Wei Zhao, Anne Breitbarth, Manuel Stoeckel, Alexander Mehler, Steffen Eger:
Syntactic Language Change in English and German: Metrics, Parsers, and Convergences. CoRR abs/2402.11549 (2024)- [i66]Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger:
Evaluating Diversity in Automatic Poetry Generation. CoRR abs/2406.15267 (2024) - 2023
- [j16]Yanran Chen, Steffen Eger:
MENLI: Robust Evaluation Metrics from Natural Language Inference. Trans. Assoc. Comput. Linguistics 11: 804-825 (2023) - [c59]Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. Eval4NLP 2023: 62-84 - [i64]Christoph Leiter
, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger:
ChatGPT: A Meta-Analysis after 2.5 Months. CoRR abs/2302.13795 (2023) - [i58]Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen:
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR abs/2308.04889 (2023) - [i55]Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger:
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR abs/2312.05688 (2023) - 2022
- [c53]Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. EMNLP 2022: 2965-2989 - [i49]Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. CoRR abs/2204.00004 (2022) - [i48]Yanran Chen, Steffen Eger:
MENLI: Robust Evaluation Metrics from Natural Language Inference. CoRR abs/2208.07316 (2022) - [i42]Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. CoRR abs/2212.10522 (2022) - 2021
- [c46]Christian Richter, Yanran Chen, Steffen Eger:
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation. INLG 2021: 301-307
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