Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology
Fuente:
arXiv
Saved in:
| Main Authors: | Hou, Yihao, Bert, Christoph, Gomaa, Ahmed, Lahmer, Godehard, Hoefler, Daniel, Weissmann, Thomas, Voigt, Raphaela, Schubert, Philipp, Schmitter, Charlotte, Depardon, Alina, Semrau, Sabine, Maier, Andreas, Fietkau, Rainer, Huang, Yixing, Putz, Florian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support
by: Putz, Florian, et al.
Published: (2025)
by: Putz, Florian, et al.
Published: (2025)
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
by: Huang, Yixing, et al.
Published: (2024)
by: Huang, Yixing, et al.
Published: (2024)
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
by: Hagag, Amr, et al.
Published: (2023)
by: Hagag, Amr, et al.
Published: (2023)
Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
by: Dinc, Ugur, et al.
Published: (2025)
by: Dinc, Ugur, et al.
Published: (2025)
LLaMA Pro: Progressive LLaMA with Block Expansion
by: Wu, Chengyue, et al.
Published: (2024)
by: Wu, Chengyue, et al.
Published: (2024)
Multimodal Medical Disease Classification with LLaMA II
by: Gapp, Christian, et al.
Published: (2024)
by: Gapp, Christian, et al.
Published: (2024)
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
by: Dialameh, Maryam, et al.
Published: (2025)
by: Dialameh, Maryam, et al.
Published: (2025)
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
by: Ma, Mingrui, et al.
Published: (2024)
by: Ma, Mingrui, et al.
Published: (2024)
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training
by: Zhu, Tong, et al.
Published: (2024)
by: Zhu, Tong, et al.
Published: (2024)
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
by: Aftab, Danyal, et al.
Published: (2024)
by: Aftab, Danyal, et al.
Published: (2024)
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
by: Gomaa, Ahmed, et al.
Published: (2024)
by: Gomaa, Ahmed, et al.
Published: (2024)
LogLLaMA: Transformer-based log anomaly detection with LLaMA
by: Yang, Zhuoyi, et al.
Published: (2025)
by: Yang, Zhuoyi, et al.
Published: (2025)
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
by: Chu, Xiangxiang, et al.
Published: (2024)
by: Chu, Xiangxiang, et al.
Published: (2024)
Adapting LLaMA Decoder to Vision Transformer
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
BanglaLlama: LLaMA for Bangla Language
by: Zehady, Abdullah Khan, et al.
Published: (2024)
by: Zehady, Abdullah Khan, et al.
Published: (2024)
LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
by: Jahangir, Md. Zihad Bin, et al.
Published: (2025)
by: Jahangir, Md. Zihad Bin, et al.
Published: (2025)
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing
by: Di Palma, Dario, et al.
Published: (2025)
by: Di Palma, Dario, et al.
Published: (2025)
How Vocabulary Sharing Facilitates Multilingualism in LLaMA?
by: Yuan, Fei, et al.
Published: (2023)
by: Yuan, Fei, et al.
Published: (2023)
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation
by: Li, Siyou, et al.
Published: (2024)
by: Li, Siyou, et al.
Published: (2024)
Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
by: Andersland, Michael
Published: (2024)
by: Andersland, Michael
Published: (2024)
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
by: Huang, Yixing, et al.
Published: (2024)
by: Huang, Yixing, et al.
Published: (2024)
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
by: Cui, Yiming, et al.
Published: (2023)
by: Cui, Yiming, et al.
Published: (2023)
Dynamic Activation Pitfalls in LLaMA Models: An Empirical Study
by: Ma, Chi, et al.
Published: (2024)
by: Ma, Chi, et al.
Published: (2024)
Faster Speech-LLaMA Inference with Multi-token Prediction
by: Raj, Desh, et al.
Published: (2024)
by: Raj, Desh, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
by: Gema, Aryo Pradipta, et al.
Published: (2023)
by: Gema, Aryo Pradipta, et al.
Published: (2023)
Evaluating LLaMA 3.2 for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2025)
by: Gonçalves, José, et al.
Published: (2025)
LLaMA-Based Models for Aspect-Based Sentiment Analysis
by: Šmíd, Jakub, et al.
Published: (2025)
by: Šmíd, Jakub, et al.
Published: (2025)
LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement
by: Kang, Boyi, et al.
Published: (2025)
by: Kang, Boyi, et al.
Published: (2025)
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
What If We Recaption Billions of Web Images with LLaMA-3?
by: Li, Xianhang, et al.
Published: (2024)
by: Li, Xianhang, et al.
Published: (2024)
EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
by: Xing, Bohao, et al.
Published: (2024)
by: Xing, Bohao, et al.
Published: (2024)
PUMA: Secure Inference of LLaMA-7B in Five Minutes
by: Dong, Ye, et al.
Published: (2023)
by: Dong, Ye, et al.
Published: (2023)
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
LLaMA based Punctuation Restoration With Forward Pass Only Decoding
by: Pang, Yutong, et al.
Published: (2024)
by: Pang, Yutong, et al.
Published: (2024)
CUBETESTERAI: Automated JUnit Test Generation using the LLaMA Model
by: Gorla, Daniele, et al.
Published: (2025)
by: Gorla, Daniele, et al.
Published: (2025)
Me LLaMA: Foundation Large Language Models for Medical Applications
by: Xie, Qianqian, et al.
Published: (2024)
by: Xie, Qianqian, et al.
Published: (2024)
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
by: Fang, Qingkai, et al.
Published: (2024)
by: Fang, Qingkai, et al.
Published: (2024)
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models
by: Sarah, Anthony, et al.
Published: (2024)
by: Sarah, Anthony, et al.
Published: (2024)
Similar Items
-
Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support
by: Putz, Florian, et al.
Published: (2025) -
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
by: Huang, Yixing, et al.
Published: (2024) -
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
by: Hagag, Amr, et al.
Published: (2023) -
Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
by: Dinc, Ugur, et al.
Published: (2025) -
LLaMA Pro: Progressive LLaMA with Block Expansion
by: Wu, Chengyue, et al.
Published: (2024)