Florian Brand

Papers

2025

• ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models
  [PDF][BibTeX]

  @misc{clavié2025readbenchmeasuringdensetext,
    title={ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models}, 
    author={Benjamin Clavié and Florian Brand},
    year={2025},
    eprint={2505.19091},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2505.19091}, 
  }
  

• Case-Based Reasoning Meets Large Language Models: A Research Manifesto For Open Challenges and Research Directions
  [PDF][BibTeX]

  @unpublished{bachCaseBasedReasoningMeets2025,
    title        = {{Case-Based Reasoning Meets Large Language Models: A Research Manifesto For Open Challenges and Research Directions}},
    author       = {Bach, Kerstin and Bergmann, Ralph and Brand, Florian and others},
    year         = 2025,
    note         = {working paper or preprint},
    pdf          = {https://hal.science/hal-05006761v1/file/main.pdf},
    hal_id       = {hal-05006761},
    hal_version  = {v1}
  }
  

2024

• Large Language Models as Knowledge Engineers
  [PDF][BibTeX]

  @inproceedings{brandLargeLanguageModels2024,
    title        = {Large Language Models as Knowledge Engineers},
    author       = {Florian Brand and Lukas Malburg and Ralph Bergmann},
    year         = 2024,
    booktitle    = {Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning {(ICCBR-WS} 2024) co-located with the 32nd International Conference on Case-Based Reasoning {(ICCBR} 2024), M{\\'e}rida, Mexico, July 1, 2024},
    publisher    = {CEUR-WS.org},
    series       = {{CEUR} Workshop Proceedings},
    volume       = 3708,
    pages        = {3--18},
    timestamp    = {Tue, 25 Jun 2024 16:52:02 +0200},
    biburl       = {https://dblp.org/rec/conf/iccbr/BrandMB24.bib},
    bibsource    = {dblp computer science bibliography, https://dblp.org}
  }
  

2023

• Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows
  [PDF][BibTeX]

  @inproceedings{brandUsingDeepReinforcement2023,
    title        = {Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows},
    author       = {Florian Brand and Katharina Lott and Lukas Malburg and Maximilian Hoffmann and Ralph Bergmann},
    year         = 2023,
    booktitle    = {Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning {(ICCBR-WS} 2023) co-located with the 31st International Conference on Case-Based Reasoning {(ICCBR} 2023), Aberdeen, Scotland, UK, July 17, 2023},
    publisher    = {CEUR-WS.org},
    series       = {{CEUR} Workshop Proceedings},
    volume       = 3438,
    pages        = {55--70},
    timestamp    = {Tue, 11 Jul 2023 17:14:10 +0200},
    biburl       = {https://dblp.org/rec/conf/iccbr/BrandLM0B23.bib},
    bibsource    = {dblp computer science bibliography, https://dblp.org}
  }
  

• Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning
  [PDF][BibTeX]

  @inproceedings{malburgAdaptiveManagementCyber-Physical2022,
    title        = {Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning},
    author       = {Lukas Malburg and Florian Brand and Ralph Bergmann},
    year         = 2022,
    booktitle    = {Enterprise Design, Operations, and Computing. {EDOC} 2022 Workshops - IDAMS, SoEA4EE, TEAR, {EDOC} Forum, Demonstrations Track and Doctoral Consortium, Bozen-Bolzano, Italy, October 4-7, 2022, Revised Selected Papers},
    publisher    = {Springer},
    series       = {Lecture Notes in Business Information Processing},
    volume       = 466,
    pages        = {79--95},
    timestamp    = {Sat, 11 Mar 2023 00:11:50 +0100},
    biburl       = {https://dblp.org/rec/conf/edoc/MalburgBB22.bib},
    bibsource    = {dblp computer science bibliography, https://dblp.org}
  }