Imagen de Portada

Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Lin, Haocheng
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
por: Wang, Jun, et al.
Publicado: (2025)

Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
por: Hao, Junjie, et al.
Publicado: (2025)

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
por: Cui, Jiaxi, et al.
Publicado: (2024)

Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization
por: Savage, Thomas, et al.
Publicado: (2024)

Memorization in Fine-Tuned Large Language Models
por: Savine, Danil
Publicado: (2025)

Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
por: Bashir, Ali Hamza, et al.
Publicado: (2026)

Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
por: Lin, Chun-Hsien, et al.
Publicado: (2024)

Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation
por: Kuo, Chuan-Wei, et al.
Publicado: (2025)

Safety-Aware Fine-Tuning of Large Language Models
por: Choi, Hyeong Kyu, et al.
Publicado: (2024)

Phased Instruction Fine-Tuning for Large Language Models
por: Pang, Wei, et al.
Publicado: (2024)

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
por: Barnett, Scott, et al.
Publicado: (2024)

Fine-Grained Interpretation of Political Opinions in Large Language Models
por: Hu, Jingyu, et al.
Publicado: (2025)

Reversing Large Language Models for Efficient Training and Fine-Tuning
por: Gal, Eshed, et al.
Publicado: (2025)

Impact of Fine-Tuning Methods on Memorization in Large Language Models
por: Hou, Jie, et al.
Publicado: (2025)

Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge
por: Fu, Weimin, et al.
Publicado: (2024)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
por: Li, Kun, et al.
Publicado: (2024)

Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models
por: Ren, Yi, et al.
Publicado: (2024)

Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning
por: Sagor, Saiful Islam, et al.
Publicado: (2026)

Natural Language Fine-Tuning
por: Liu, Jia, et al.
Publicado: (2024)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
por: Yang, Qimin, et al.
Publicado: (2024)

Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
por: Ruiz, Daniel C., et al.
Publicado: (2024)

The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
por: Jha, Basab, et al.
Publicado: (2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
por: Lyu, Yougang, et al.
Publicado: (2024)

Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
por: Leong, Hui Yi, et al.
Publicado: (2024)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
por: Khadangi, Afshin, et al.
Publicado: (2025)

PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
por: Chen, Linqing, et al.
Publicado: (2024)

Fine-Tuning BERT for Domain-Specific Question Answering: Toward Educational NLP Resources at University Scale
por: Montfrond, Aurélie
Publicado: (2025)

Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
por: Liu, Fengchen, et al.
Publicado: (2024)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
por: Luo, Ling, et al.
Publicado: (2023)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
por: Cao, Jie, et al.
Publicado: (2025)

Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
por: Zhang, Yanyue, et al.
Publicado: (2025)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
por: Huang, Wenke, et al.
Publicado: (2024)

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
por: Mai, Long, et al.
Publicado: (2024)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
por: Feng, Jiarui, et al.
Publicado: (2025)

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models
por: Ormerod, Christopher
Publicado: (2026)

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
por: Ramakrishnan, Badrinath, et al.
Publicado: (2025)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
por: Cruickshank, Iain J., et al.
Publicado: (2023)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
por: Ding, Fei, et al.
Publicado: (2025)

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
por: Zhang, Jia-Chen, et al.
Publicado: (2025)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
por: He, Wenchong, et al.
Publicado: (2025)