Image de couverture de livre

Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Jianwei, Mei, Chaoyang, Wei, Linlin, Zheng, Kaiyu, Liu, Na, Cui, Ming, Li, Tianyi
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

Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
par: Chen, Pin-Yu, et autres
Publié: (2025)

Fine-tuning of Large Language Models for Domain-Specific Cybersecurity Knowledge
par: Huang, Yuan
Publié: (2025)

EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
par: Zhao, Xuyang, et autres
Publié: (2024)

Are Large Brainwave Foundation Models Capable Yet? Insights from Fine-tuning
par: Lee, Na, et autres
Publié: (2025)

Fine-tuning Large Language Models for Domain-specific Machine Translation
par: Zheng, Jiawei, et autres
Publié: (2024)

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
par: Shi, Zhengpeng, et autres
Publié: (2024)

Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning
par: Li, Wenjun, et autres
Publié: (2024)

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
par: Tang, Tianyi, et autres
Publié: (2024)

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
par: Hu, Tianxiang, et autres
Publié: (2024)

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation
par: Lippolis, Anna Sofia, et autres
Publié: (2025)

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

EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
par: Pang, Jing-Cheng, et autres
Publié: (2026)

LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning
par: Zhou, Weijie, et autres
Publié: (2025)

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods
par: Deotale, Rushikesh, et autres
Publié: (2026)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
par: Zhang, Zhexin, et autres
Publié: (2025)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
par: Dong, Guanting, et autres
Publié: (2023)

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

Table Comprehension in Building Codes using Vision Language Models and Domain-Specific Fine-Tuning
par: Aqib, Mohammad, et autres
Publié: (2025)

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
par: Park, Chansung, et autres
Publié: (2026)

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
par: Alt, Benjamin, et autres
Publié: (2023)

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
par: Susnjak, Teo, et autres
Publié: (2024)

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
par: Eiras, Francisco, et autres
Publié: (2024)

Data Quality Control in Federated Instruction-tuning of Large Language Models
par: Du, Yaxin, et autres
Publié: (2024)

RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
par: Yang, Junyao, et autres
Publié: (2025)

A Survey on Federated Fine-tuning of Large Language Models
par: Wu, Yebo, et autres
Publié: (2025)

Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints
par: Guo, Kunpeng, et autres
Publié: (2024)

Targeted Efficient Fine-tuning: Optimizing Parameter Updates with Data-Driven Sample Selection
par: Dong, Ming, et autres
Publié: (2024)

Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients
par: Chen, Shaoyuan, et autres
Publié: (2024)

SEED: Domain-Specific Data Curation With Large Language Models
par: Chen, Zui, et autres
Publié: (2023)

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models
par: Zhang, Shenglin, et autres
Publié: (2024)

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
par: Liu, Na, et autres
Publié: (2024)

Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
par: Hsiung, Lei, et autres
Publié: (2025)

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
par: Shen, Han, et autres
Publié: (2024)

Evaluating the Generation Capabilities of Large Chinese Language Models
par: Zeng, Hui, et autres
Publié: (2023)

SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
par: Lin, Jiacheng, et autres
Publié: (2025)

Definitive Dialing...Nursing Dial Access.
par: Niles, Anne G.
Publié: (1970)

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

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

Fine-tuning Large Language Models for Entity Matching
par: Steiner, Aaron, et autres
Publié: (2024)

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
par: Du, Hao, et autres
Publié: (2024)