Large language models in ORL -- danger or opportunity?

Christoph Raphael Buhr; Harry Smith; Tilman Huppertz; Katharina Bahr-Hamm; Christoph Matthias; Clemens Cuny; Jan Phillipp Snijders; Benjamin Ernst; Andrew Blaikie; Tom Kelsey; Sebastian Kuhn; Jonas Eckrich

doi:10.1055/s-0044-1784577

Large language models in ORL -- danger or opportunity?

Christoph Raphael Buhr, Harry Smith, Tilman Huppertz, Katharina Bahr-Hamm, Christoph Matthias, Clemens Cuny, Jan Phillipp Snijders, Benjamin Ernst, Andrew Blaikie, Tom Kelsey, Sebastian Kuhn, Jonas Eckrich

Research output: Contribution to journal › Abstract › peer-review

Original language	English
Article number	S181
Journal	Laryngo-Rhino-Otologie
Volume	103
Issue number	S 02
DOIs	https://doi.org/10.1055/s-0044-1784577
Publication status	Published - 19 Apr 2024

Access to Document

10.1055/s-0044-1784577

Large language models surpass human experts in predicting neuroscience results (dataset)
research-data (Creator) & Ales, J. (Creator), GitHub, 2025
https://github.com/braingpt-lovelab/BrainBench
Dataset

Cite this

@article{62187a9e5fb24163a91957df1380873e,

title = "Large language models in ORL -- danger or opportunity?",

author = "Buhr, {Christoph Raphael} and Harry Smith and Tilman Huppertz and Katharina Bahr-Hamm and Christoph Matthias and Clemens Cuny and Snijders, {Jan Phillipp} and Benjamin Ernst and Andrew Blaikie and Tom Kelsey and Sebastian Kuhn and Jonas Eckrich",

year = "2024",

month = apr,

day = "19",

doi = "10.1055/s-0044-1784577",

language = "English",

volume = "103",

journal = "Laryngo-Rhino-Otologie",

issn = "0935-8943",