Christoph Leiter

20 papers A* 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark. CoRR Lotta Kiefer, Christoph Leiter, Sotaro Takeshita, Elena Schmidt, Steffen Eger
2025	J	`jnl`	CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. CoRR Christoph Leiter, Yuki M. Asano, Margret Keuper, Steffen Eger
2025	J	`jnl`	DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? CoRR Daniil Larionov, Sotaro Takeshita, Ran Zhang, Yanran Chen, Christoph Leiter, Zhipin Wang, Christian Greisinger, Steffen Eger
2024	—	`conf`	BMX: Boosting Natural Language Generation Metrics with Explainability. EACL (Findings) Christoph Leiter, Hoa Nguyen, Steffen Eger
2024	J	`jnl`	NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? CoRR Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, Steffen Eger
2024	A*	`conf`	PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. EMNLP Christoph Leiter, Steffen Eger
2024	J	`jnl`	PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. CoRR Christoph Leiter, Steffen Eger
2024	J	`jnl`	ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? CoRR Leixin Zhang, Steffen Eger, Yinjie Cheng, Weihe Zhai, Jonas Belouadi, Christoph Leiter, Simone Paolo Ponzetto, Fahimeh Moafian, Zhixue Zhao
2024	J	`jnl`	Towards Explainable Evaluation Metrics for Machine Translation. J. Mach. Learn. Res. Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
2023	J	`jnl`	ChatGPT: A Meta-Analysis after 2.5 Months. CoRR Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger
2023	—	`conf`	EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger
2023	J	`jnl`	NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen
2023	J	`jnl`	NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger
2023	—	`ed.`	Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023 Eval4NLP Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé
2023	—	`conf`	The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. Eval4NLP Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger
2023	J	`jnl`	The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. CoRR Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger
2023	J	`jnl`	Towards Explainable Evaluation Metrics for Machine Translation. CoRR Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
2022	J	`jnl`	BMX: Boosting Machine Translation Metrics with Explainability. CoRR Christoph Leiter, Hoa Nguyen, Steffen Eger
2022	J	`jnl`	Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. CoRR Jens Grünwald, Christoph Leiter, Steffen Eger
2022	J	`jnl`	Towards Explainable Evaluation Metrics for Natural Language Generation. CoRR Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger