23 citations · 48 across the 17 of their papers we have counts for
5 papers · 1 filter
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?
Ran Zhang, Aida Kostikova, Christoph Leiter +5
Artificial Intelligence (AI) has witnessed rapid growth, especially in the subfields Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (CV). Keeping pace…
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
Christoph Leiter, Juri Opitz, Daniel Deutsch +3
With an increasing number of parameters and pre-training data, generative large language models (LLMs) have shown remarkable capabilities to solve tasks with minimal or no task-rel…
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?
Steffen Eger, Christoph Leiter, Jonas Belouadi +5
The rapid growth of information in the field of Generative Artificial Intelligence (AI), particularly in the subfields of Natural Language Processing (NLP) and Machine Learning (ML…
Towards Explainable Evaluation Metrics for Machine Translation
Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva +3
Unlike classical lexical overlap metrics such as BLEU, most current evaluation metrics for machine translation (for example, COMET or BERTScore) are based on black-box large langua…
ChatGPT: A Meta-Analysis after 2.5 Months
Christoph Leiter, Ran Zhang, Yanran Chen +4
ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022. However, little hard evidence is available regardin…