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20122023
most citedConcatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations

85 citations · 533 across the 53 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CY2023★ 2 cited

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…

cs.CL2023

Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?

Gil Rocha, Henrique Lopes Cardoso, Jonas Belouadi +1

Available corpora for Argument Mining differ along several axes, and one of the key differences is the presence (or absence) of discourse markers to signal argumentative content. E…

cs.CL2023★ 6 cited

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…

cs.CL2023★ 1 cited

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation

Ran Zhang, Jihed Ouni, Steffen Eger

While summarization has been extensively researched in natural language processing (NLP), cross-lingual cross-temporal summarization (CLCTS) is a largely unexplored area that has t…

cs.CL2023★ 1 cited

Trade-Offs Between Fairness and Privacy in Language Modeling

Cleo Matzken, Steffen Eger, Ivan Habernal

Protecting privacy in contemporary NLP models is gaining in importance. So does the need to mitigate social biases of such models. But can we have both at the same time? Existing r…

cs.CL2023★ 4 cited

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP

Anya Belz, Craig Thomson, Ehud Reiter +39

We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…

cs.CL2023★ 23 cited

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…