23 citations · 48 across the 17 of their papers we have counts for
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cs.AI2024★ 1 cited
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?
Leixin Zhang, Steffen Eger, Yinjie Cheng +6
Multimodal large language models (LLMs) have demonstrated impressive capabilities in generating high-quality images from textual instructions. However, their performance in generat…
cs.DL2024
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?
Christoph Leiter, Jonas Belouadi, Yanran Chen +4
The NLLG (Natural Language Learning & Generation) arXiv reports assist in navigating the rapidly evolving landscape of NLP and AI research across cs.CL, cs.CV, cs.AI, and cs.LG cat…
cs.CL2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Christoph Leiter, Steffen Eger
Large language models (LLMs) have revolutionized NLP research. Notably, in-context learning enables their use as evaluation metrics for natural language generation, making them par…