Image de couverture de livre

Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Meng, Parmar, Surajsinh, Bhatti, Anubhav
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
par: Gupta, Divij, et autres
Publié: (2024)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
par: Tan, Zhaoxuan, et autres
Publié: (2024)

Fine-tuning Large Language Models with Sequential Instructions
par: Hu, Hanxu, et autres
Publié: (2024)

Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
par: Lu, Yuheng, et autres
Publié: (2025)

Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models
par: Liu, Zikang, et autres
Publié: (2025)

Towards Building Multilingual Language Model for Medicine
par: Qiu, Pengcheng, et autres
Publié: (2024)

Demystifying Instruction Mixing for Fine-tuning Large Language Models
par: Wang, Renxi, et autres
Publié: (2023)

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
par: Luo, Yun, et autres
Publié: (2023)

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
par: Xiong, Feng, et autres
Publié: (2024)

Multilingual and Multi-topical Benchmark of Fine-tuned Language models and Large Language Models for Check-Worthy Claim Detection
par: Hyben, Martin, et autres
Publié: (2023)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
par: Hu, Yujia, et autres
Publié: (2024)

InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
par: Wang, Yifan, et autres
Publié: (2024)

Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
par: Zhou, Andy
Publié: (2025)

Phased Instruction Fine-Tuning for Large Language Models
par: Pang, Wei, et autres
Publié: (2024)

Sparse Matrix in Large Language Model Fine-tuning
par: He, Haoze, et autres
Publié: (2024)

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
par: Meng, Tao, et autres
Publié: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
par: Zhao, Zhixue, et autres
Publié: (2024)

Dynamics of Instruction Fine-Tuning for Chinese Large Language Models
par: Song, Chiyu, et autres
Publié: (2023)

XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
par: Li, Zhenyu, et autres
Publié: (2025)

A Study of Backdoors in Instruction Fine-tuned Language Models
par: Raghuram, Jayaram, et autres
Publié: (2024)

AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models
par: Guggilla, Chinnappa, et autres
Publié: (2025)

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
par: Li, Jiahuan, et autres
Publié: (2023)

Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
par: Cahyawijaya, Samuel, et autres
Publié: (2024)

Instruction-tuned Large Language Models for Machine Translation in the Medical Domain
par: Rios, Miguel
Publié: (2024)

Semi-supervised Fine-tuning for Large Language Models
par: Luo, Junyu, et autres
Publié: (2024)

Toward Global Large Language Models in Medicine
par: Yang, Rui, et autres
Publié: (2026)

Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
par: Cao, Zhe, et autres
Publié: (2024)

Detecting Bias in Large Language Models: Fine-tuned KcBERT
par: Lee, J. K., et autres
Publié: (2024)

Full Parameter Fine-tuning for Large Language Models with Limited Resources
par: Lv, Kai, et autres
Publié: (2023)

Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
par: Qi, Haomin, et autres
Publié: (2025)

Learning or Self-aligning? Rethinking Instruction Fine-tuning
par: Ren, Mengjie, et autres
Publié: (2024)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
par: Zeng, Bo, et autres
Publié: (2025)

Adapting Large Language Models to Low-Resource Tibetan: A Two-Stage Continual and Supervised Fine-Tuning Study
par: Chen, Lifeng, et autres
Publié: (2025)

Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
par: Agarwal, Aradhye, et autres
Publié: (2024)

Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
par: Hu, Yinghao, et autres
Publié: (2025)

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
par: Zhou, Yiyang, et autres
Publié: (2024)

AlpaCare:Instruction-tuned Large Language Models for Medical Application
par: Zhang, Xinlu, et autres
Publié: (2023)

How Multilingual Are Large Language Models Fine-Tuned for Translation?
par: Richburg, Aquia, et autres
Publié: (2024)

Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
par: Chen, Pinzhen, et autres
Publié: (2024)

CM-Align: Consistency-based Multilingual Alignment for Large Language Models
par: Zhang, Xue, et autres
Publié: (2025)