23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aalto UniversityFI2 papers
- University Medical Center FreiburgDE2 papers
- University of FreiburgDE2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- Ben-Gurion University of the NegevIL1 paper
- Boğaziçi UniversityTR1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Brown UniversityUS1 paper
- California Institute of TechnologyUS1 paper
- California Polytechnic State UniversityUS1 paper
- Carnegie Mellon UniversityUS1 paper
3 papers
Scalable Training of Spatially Grounded 2D Vision-Language Models for Radiology
Yusuf Salcan, Simon Ging, Robin Tibor Schirrmeister +4
We study how to train visually grounded vision-language models (VLMs) for radiology without manual spatial annotations. We introduce RefRad2D, a large-scale bilingual (German/Engli…
Learning to Read Where to Look: Disease-Aware Vision-Language Pretraining for 3D CT
Simon Ging, Philipp Arnold, Sebastian Walter +6
Recent 3D CT vision-language models align volumes with reports via contrastive pretraining, but typically rely on limited public data and provide only coarse global supervision. We…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…