Christoph Leiter

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Natural Language

Brazilian Portuguese

Lexical Cohesion

Evaluation Metrics

Top Venues

EACL (Findings)

EMNLP (Findings)

Publications

Christoph Leiter, Hoa Nguyen, Steffen Eger
BMX: Boosting Natural Language Generation Metrics with Explainability. EACL (Findings) (2024)
Christoph Leiter, Steffen Eger
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. CoRR (2024)
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 (2023)
Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
Towards Explainable Evaluation Metrics for Machine Translation. CoRR (2023)
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 (2023)
Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger
ChatGPT: A Meta-Analysis after 2.5 Months. CoRR (2023)
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 (2023)
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)
Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) (2023)
Jens Grünwald, Christoph Leiter, Steffen Eger
Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. CoRR (2022)
Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
Towards Explainable Evaluation Metrics for Natural Language Generation. CoRR (2022)
Christoph Leiter, Hoa Nguyen, Steffen Eger
BMX: Boosting Machine Translation Metrics with Explainability. CoRR (2022)