75 lines
4.2 KiB
BibTeX
75 lines
4.2 KiB
BibTeX
@online{iamweb,
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title={Herzlich willkommen am Institut für angewandte Medizininformatik},
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url={https://www.uke.de/kliniken-institute/institute/institut-fuer-angewandte-medizininformatik/index.html},
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urldate={2025-10-25}
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}
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@online{ukeweb,
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title={UKE über uns},
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url={https://www.uke.de/kliniken-institute/institute/institut-fuer-angewandte-medizininformatik/index.html},
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urldate={2025-10-25}
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}
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@article{riemann2025streamlining,
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title={Streamlining and Accelerating the Molecular Tumor Board Process at the University Medical Center Hamburg-Eppendorf},
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author={Riemann, Layla Tabea and Ataian, Maximilian and H{\"a}hner, Felicia PS and Roth, Benjamin and Knurr, Alexander and Kamitz, Anne and Christopeit, Maximilian and Bokemeyer, Carsten and {\"U}ckert, Frank},
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journal={Targeted oncology},
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volume={20},
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number={4},
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pages={725},
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year={2025},
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doi={10.1007/s11523-025-01160-6}
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}
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@misc{zhuge2024languageagentsoptimizablegraphs,
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title={Language Agents as Optimizable Graphs},
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author={Mingchen Zhuge and Wenyi Wang and Louis Kirsch and Francesco Faccio and Dmitrii Khizbullin and Jürgen Schmidhuber},
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year={2024},
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eprint={2402.16823},
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archivePrefix={arXiv},
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url={https://arxiv.org/abs/2402.16823},
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}
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@InProceedings{pmlr-v174-pal22a,
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title = {MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering},
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author = {Pal, Ankit and Umapathi, Logesh Kumar and Sankarasubbu, Malaikannan},
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booktitle = {Proceedings of the Conference on Health, Inference, and Learning},
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pages = {248--260},
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year = {2022},
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editor = {Flores, Gerardo and Chen, George H and Pollard, Tom and Ho, Joyce C and Naumann, Tristan},
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volume = {174},
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series = {Proceedings of Machine Learning Research},
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month = {07--08 Apr},
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publisher = {PMLR},
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pdf = {https://proceedings.mlr.press/v174/pal22a/pal22a.pdf},
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url = {https://proceedings.mlr.press/v174/pal22a.html},
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abstract = {This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. More than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity. Each sample contains a question, correct answer(s), and other options which requires a deeper language understanding as it tests the 10+ reasoning abilities of a model across a wide range of medical subjects & topics. A detailed explanation of the solution, along with the above information, is provided in this study.}
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}
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@misc{qwen2.5,
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title = {Qwen2.5: A Party of Foundation Models},
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url = {https://qwenlm.github.io/blog/qwen2.5/},
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author = {Qwen Team},
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month = {September},
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year = {2024}
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}
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@article{yang2024qwen2technicalreport,
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title={Qwen2 Technical Report},
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author={An Yang and Baosong Yang and Binyuan Hui and Bo Zheng and Bowen Yu and Chang Zhou and Chengpeng Li and Chengyuan Li and Dayiheng Liu and Fei Huang and Guanting Dong and Haoran Wei and Huan Lin and Jialong Tang and Jialin Wang and Jian Yang and Jianhong Tu and Jianwei Zhang and Jianxin Ma and Jianxin Yang and Jin Xu and Jingren Zhou and Jinze Bai and Jinzheng He and Junyang Lin and Kai Dang and Keming Lu and Keqin Chen and Kexin Yang and Mei Li and Mingfeng Xue and Na Ni and Pei Zhang and Peng Wang and Ru Peng and Rui Men and Ruize Gao and Runji Lin and Shijie Wang and Shuai Bai and Sinan Tan and Tianhang Zhu and Tianhao Li and Tianyu Liu and Wenbin Ge and Xiaodong Deng and Xiaohuan Zhou and Xingzhang Ren and Xinyu Zhang and Xipin Wei and Xuancheng Ren and Xuejing Liu and Yang Fan and Yang Yao and Yichang Zhang and Yu Wan and Yunfei Chu and Yuqiong Liu and Zeyu Cui and Zhenru Zhang and Zhifang Guo and Zhihao Fan},
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year={2024},
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eprint={2407.10671},
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archivePrefix={arXiv},
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url={https://arxiv.org/abs/2407.10671},
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}
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@misc{vaswani2023attentionneed,
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title={Attention Is All You Need},
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author={Ashish Vaswani and Noam Shazeer and Niki Parmar and Jakob Uszkoreit and Llion Jones and Aidan N. Gomez and Lukasz Kaiser and Illia Polosukhin},
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year={2023},
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eprint={1706.03762},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/1706.03762},
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}
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