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Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

Z. Wu, L. Zhang, C. Cao, X. Yu, H. Dai, C. Ma, Z. Liu, L. Zhao, G. Li, W. Liu, Q. Li, D. Shen, X. Li, D. Zhu, and T. Liu. CoRR, (2023)

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Liu Liu

Peihua Liu

Xingyi Liu

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Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior.M. Bancilhon, Z. Liu, and A. Ottley. IEEE VIS (Short Papers), page 196-200. IEEE, (2020)Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.Z. Liu, Y. Li, Q. Cao, J. Chen, T. Yang, Z. Wu, J. Hale, J. Gibbs, K. Rasheed, N. Liu and 2 other author(s). CoRR, (2023)Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.X. Gong, J. Holmes, Y. Li, Z. Liu, Q. Gan, Z. Wu, J. Zhang, Y. Zou, Y. Teng, T. Jiang and 4 other author(s). CoRR, (2023)Mask-guided BERT for Few Shot Text Classification.W. Liao, Z. Liu, H. Dai, Z. Wu, Y. Zhang, X. Huang, Y. Chen, X. Jiang, D. Zhu, T. Liu and 3 other author(s). CoRR, (2023)Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.W. Liao, Z. Liu, Y. Zhang, X. Huang, F. Qi, S. Ding, H. Ren, Z. Wu, H. Dai, S. Li and 6 other author(s). BIBM, page 1294-1299. IEEE, (2023)Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, S. Kim and 9 other author(s). MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 464-473. Springer, (2023)MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.C. Chen, J. Miao, D. Wu, A. Zhong, Z. Yan, S. Kim, J. Hu, Z. Liu, L. Sun, X. Li and 3 other author(s). Medical Image Anal., (2024)Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.Y. Zhang, Y. Pan, T. Zhong, P. Dong, K. Xie, Y. Liu, H. Jiang, Z. Liu, S. Zhao, T. Zhang and 4 other author(s). CoRR, (2024)Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.S. Zhang, E. Shi, L. Wu, R. Wang, S. Yu, Z. Liu, S. Xu, T. Liu, and S. Zhao. Neural Networks, (August 2023)Segment Anything Model (SAM) for Radiation Oncology.L. Zhang, Z. Liu, L. Zhang, Z. Wu, X. Yu, J. Holmes, H. Feng, H. Dai, X. Li, Q. Li and 3 other author(s). CoRR, (2023)

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Disambiguation of "Liu, Zhengliang"

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Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Peihua Liu

Xingyi Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Zhengliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Peihua Liu

Xingyi Liu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.