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spezial:bib [2024/04/18 19:10] Christoph Reich |
spezial:bib [2024/04/19 11:45] Christoph Reich |
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journal = {arXiv preprint}, | journal = {arXiv preprint}, | ||
eprint={2310.06707}, | eprint={2310.06707}, | ||
+ | eprinttype={arXiv}, | ||
+ | primaryClass={cs.LG}, | ||
+ | keywords={deep learning}, | ||
+ | } | ||
+ | |||
+ | @article{tomani2024abstentionllms, | ||
+ | title={Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations}, | ||
+ | author={Christian Tomani and Kamalika Chaudhuri and Ivan Evtimov and Daniel Cremers and Mark Ibrahim}, | ||
+ | year={2024}, | ||
+ | journal = {arXiv preprint}, | ||
+ | eprint={2404.10960}, | ||
eprinttype={arXiv}, | eprinttype={arXiv}, | ||
primaryClass={cs.LG}, | primaryClass={cs.LG}, | ||
Line 11279: | Line 11290: | ||
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), in press}, | booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), in press}, | ||
year={2024}, | year={2024}, | ||
+ | eprint={2404.12330}, | ||
+ | eprinttype={arXiv}, | ||
+ | eprintclass={cs.CV}, | ||
titleurl={reich2024coding.png} | titleurl={reich2024coding.png} | ||
} | } |