Towards Explainable Evaluation Metrics for Natural Language Generation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (CoRR, 2022)

Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. - Jens Grünwald; Christoph Leiter; Steffen Eger (CoRR, 2022)

BMX: Boosting Machine Translation Metrics with Explainability. - Christoph Leiter; Hoa Nguyen; Steffen Eger (CoRR, 2022)

EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. - Daniil Larionov; Jens Grünwald; Christoph Leiter; Steffen Eger (EMNLP (Findings), 2023)

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. - Christoph Leiter; Juri Opitz; Daniel Deutsch; Yang Gao 021; Rotem Dror; Steffen Eger (Eval4NLP, 2023)

ChatGPT: A Meta-Analysis after 2.5 Months. - Christoph Leiter; Ran Zhang; Yanran Chen; Jonas Belouadi; Daniil Larionov; Vivian Fresen; Steffen Eger (CoRR, 2023)

NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? - Steffen Eger; Christoph Leiter; Jonas Belouadi; Ran Zhang; Aida Kostikova; Daniil Larionov; Yanran Chen; Vivian Fresen (CoRR, 2023)

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? - Ran Zhang; Aida Kostikova; Christoph Leiter; Jonas Belouadi; Daniil Larionov; Yanran Chen; Vivian Fresen; Steffen Eger (CoRR, 2023)

BMX: Boosting Natural Language Generation Metrics with Explainability. - Christoph Leiter; Hoa Nguyen; Steffen Eger (EACL (Findings), 2024)

PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. - Christoph Leiter; Steffen Eger (EMNLP, 2024)

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? - Leixin Zhang; Steffen Eger; Yinjie Cheng; Weihe Zhai; Jonas Belouadi; Christoph Leiter; Simone Paolo Ponzetto; Fahimeh Moafian; Zhixue Zhao (CoRR, 2024)

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? - Christoph Leiter; Jonas Belouadi; Yanran Chen; Ran Zhang; Daniil Larionov; Aida Kostikova; Steffen Eger (CoRR, 2024)

Towards Explainable Evaluation Metrics for Machine Translation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (J. Mach. Learn. Res., 2024)

DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? - Daniil Larionov; Sotaro Takeshita; Ran Zhang; Yanran Chen; Christoph Leiter; Zhipin Wang; Christian Greisinger; Steffen Eger (CoRR, 2025)

CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. - Christoph Leiter; Yuki M. Asano; Margret Keuper; Steffen Eger (CoRR, 2025)