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ORCIDChristoph Leiter
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2020 – today
- 2026
[c5]Lotta Kiefer, Christoph Leiter, Sotaro Takeshita, Elena Schmidt, Steffen Eger:
GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark. ACL (Findings) 2026: 40050-40069- [i17]Lotta Kiefer, Christoph Leiter, Sotaro Takeshita, Elena Schmidt, Steffen Eger:
GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark. CoRR abs/2601.13711 (2026) - [i16]Zhipin Wang, Christoph Leiter, Christian Frey, Mohamed Hesham Ibrahim Abdalla, Josif Grabocka, Steffen Eger:
ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs. CoRR abs/2604.06484 (2026) - [i15]Christoph Leiter, Haiyue Song, Hour Kaing, Jin Tei, Hideki Tanaka, Masao Utiyama, Steffen Eger:
ExCAM: Explainable Cultural Awareness Metrics. CoRR abs/2605.29897 (2026) - [i14]Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli, Yanran Chen, Christian Greisinger, Lotta Kiefer, Christoph Leiter, Subhadeep Roy, Tewodros Achamaleh, Muhammad Arslan Manzoor, Sebastian Pohl, Yufang Hou, Steffen Eger:
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025. CoRR abs/2606.02255 (2026) - 2025
- [i13]Daniil Larionov, Sotaro Takeshita, Ran Zhang, Yanran Chen, Christoph Leiter
, Zhipin Wang, Christian Greisinger, Steffen Eger:
DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? CoRR abs/2504.08120 (2025) - [i12]Christoph Leiter, Yuki M. Asano, Margret Keuper, Steffen Eger:
CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. CoRR abs/2505.11314 (2025) - 2024
- [j1]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Machine Translation. J. Mach. Learn. Res. 25: 75:1-75:49 (2024) - [c4]Christoph Leiter, Hoa Nguyen, Steffen Eger:
BMX: Boosting Natural Language Generation Metrics with Explainability. EACL (Findings) 2024: 2274-2288 - [c3]Christoph Leiter, Steffen Eger:
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. EMNLP 2024: 11481-11506 - [i11]Christoph Leiter, Steffen Eger:
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. CoRR abs/2406.18528 (2024) - [i10]Leixin Zhang, Steffen Eger, Yinjie Cheng, Weihe Zhai, Jonas Belouadi, Christoph Leiter, Simone Paolo Ponzetto, Fahimeh Moafian, Zhixue Zhao:
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? CoRR abs/2412.02368 (2024) - [i9]Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, Steffen Eger:
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? CoRR abs/2412.12121 (2024) - 2023
- [c2]Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger:
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) 2023: 78-96 - [c1]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. Eval4NLP 2023: 117-138 - [e1]Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé:
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-021-9 [contents] - [i8]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) - [i7]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Machine Translation. CoRR abs/2306.13041 (2023) - [i6]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) - [i5]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. CoRR abs/2310.19792 (2023) - [i4]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
- [i3]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Natural Language Generation. CoRR abs/2203.11131 (2022) - [i2]Jens Grünwald, Christoph Leiter, Steffen Eger:
Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. CoRR abs/2209.09593 (2022) - [i1]Christoph Leiter, Hoa Nguyen, Steffen Eger:
BMX: Boosting Machine Translation Metrics with Explainability. CoRR abs/2212.10469 (2022)
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