23 citations · 55 across the 12 of their papers we have counts for
12 papers
MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models
Jonas Belouadi, Tamy Boubekeur, Adrien Kaiser
Material node graphs are programs that generate the 2D channels of procedural materials, including geometry such as roughness and displacement maps, and reflectance such as albedo…
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Jonas Belouadi, Eddy Ilg, Margret Keuper +5
Automatically synthesizing figures from text captions is a compelling capability. However, achieving high geometric precision and editability requires representing figures as graph…
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…
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…
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…
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
Jonas Belouadi, Anne Lauscher, Steffen Eger
Generating bitmap graphics from text has gained considerable attention, yet for scientific figures, vector graphics are often preferred. Given that vector graphics are typically en…
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…
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…
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…
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
Jonas Belouadi, Steffen Eger
State-of-the-art poetry generation systems are often complex. They either consist of task-specific model pipelines, incorporate prior knowledge in the form of manually created cons…
Reproducibility Issues for BERT-based Evaluation Metrics
Yanran Chen, Jonas Belouadi, Steffen Eger
Reproducibility is of utmost concern in machine learning and natural language processing (NLP). In the field of natural language generation (especially machine translation), the se…
USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
Jonas Belouadi, Steffen Eger
The vast majority of evaluation metrics for machine translation are supervised, i.e., (i) are trained on human scores, (ii) assume the existence of reference translations, or (iii)…