Fine-tuning and Utilization Methods of Domain-specific LLMs
Fuente:
arXiv
Saved in:
| Main Author: | Jeong, Cheonsu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture
by: Jeong, Cheonsu
Published: (2023)
by: Jeong, Cheonsu
Published: (2023)
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs
by: Raimondi, Bianca, et al.
Published: (2025)
by: Raimondi, Bianca, et al.
Published: (2025)
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph
by: Jeong, Cheonsu
Published: (2024)
by: Jeong, Cheonsu
Published: (2024)
Aloe: A Family of Fine-tuned Open Healthcare LLMs
by: Gururajan, Ashwin Kumar, et al.
Published: (2024)
by: Gururajan, Ashwin Kumar, et al.
Published: (2024)
ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation
by: Wu, Peiyang, et al.
Published: (2024)
by: Wu, Peiyang, et al.
Published: (2024)
A Study on the MCP x A2A Framework for Enhancing Interoperability of LLM-based Autonomous Agents
by: Jeong, Cheonsu
Published: (2025)
by: Jeong, Cheonsu
Published: (2025)
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform
by: Jeong, Cheonsu
Published: (2025)
by: Jeong, Cheonsu
Published: (2025)
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts into a Verbalizer
by: Ma, Yong, et al.
Published: (2024)
by: Ma, Yong, et al.
Published: (2024)
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
by: Su, Hongyu, et al.
Published: (2025)
by: Su, Hongyu, et al.
Published: (2025)
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
by: Chekalina, Viktoriia, et al.
Published: (2024)
by: Chekalina, Viktoriia, et al.
Published: (2024)
Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding
by: Alali, Abdulhai, et al.
Published: (2026)
by: Alali, Abdulhai, et al.
Published: (2026)
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
by: Gladkoff, Serge, et al.
Published: (2023)
by: Gladkoff, Serge, et al.
Published: (2023)
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
by: Gao, Xiaochen Kev, et al.
Published: (2024)
by: Gao, Xiaochen Kev, et al.
Published: (2024)
Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
by: Jan, Essa, et al.
Published: (2024)
by: Jan, Essa, et al.
Published: (2024)
RLSF: Fine-tuning LLMs via Symbolic Feedback
by: Jha, Piyush, et al.
Published: (2024)
by: Jha, Piyush, et al.
Published: (2024)
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
by: Spiegel, Michal, et al.
Published: (2024)
by: Spiegel, Michal, et al.
Published: (2024)
Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study
by: Han, Jiuzhou, et al.
Published: (2024)
by: Han, Jiuzhou, et al.
Published: (2024)
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
by: Lyu, Kaifeng, et al.
Published: (2024)
by: Lyu, Kaifeng, et al.
Published: (2024)
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
by: Paiola, Pedro Henrique, et al.
Published: (2024)
by: Paiola, Pedro Henrique, et al.
Published: (2024)
Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Stage-wise Fine-tuning for Graph-to-Text Generation
by: Wang, Qingyun, et al.
Published: (2021)
by: Wang, Qingyun, et al.
Published: (2021)
Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
by: Nkhata, Gibson, et al.
Published: (2025)
by: Nkhata, Gibson, et al.
Published: (2025)
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)
by: Wang, Yibo, et al.
Published: (2025)
NeurIPS 2023 LLM Efficiency Fine-tuning Competition
by: Saroufim, Mark, et al.
Published: (2025)
by: Saroufim, Mark, et al.
Published: (2025)
Fine-tuning with RAG for Improving LLM Learning of New Skills
by: Ibrahim, Humaid, et al.
Published: (2025)
by: Ibrahim, Humaid, et al.
Published: (2025)
Sensitivity of Small Language Models to Fine-tuning Data Contamination
by: Scaria, Nicy, et al.
Published: (2025)
by: Scaria, Nicy, et al.
Published: (2025)
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
by: Huang, Chenxi, et al.
Published: (2025)
by: Huang, Chenxi, et al.
Published: (2025)
Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
by: Misra, Dipendra, et al.
Published: (2026)
by: Misra, Dipendra, et al.
Published: (2026)
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
by: Zhang, Ming, et al.
Published: (2025)
by: Zhang, Ming, et al.
Published: (2025)
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
by: Jeong, Cheonsu, et al.
Published: (2025)
by: Jeong, Cheonsu, et al.
Published: (2025)
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)
by: He, Wenchong, et al.
Published: (2025)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
by: Yildirim, Savas
Published: (2024)
by: Yildirim, Savas
Published: (2024)
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression
by: Sun, Kun, et al.
Published: (2024)
by: Sun, Kun, et al.
Published: (2024)
Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification
by: Beniwal, Himanshu, et al.
Published: (2025)
by: Beniwal, Himanshu, et al.
Published: (2025)
Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models
by: Ji, Xiaoshuang, et al.
Published: (2025)
by: Ji, Xiaoshuang, et al.
Published: (2025)
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
by: Liu, Zhexiong, et al.
Published: (2025)
by: Liu, Zhexiong, et al.
Published: (2025)
Similar Items
-
A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture
by: Jeong, Cheonsu
Published: (2023) -
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs
by: Raimondi, Bianca, et al.
Published: (2025) -
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph
by: Jeong, Cheonsu
Published: (2024) -
Aloe: A Family of Fine-tuned Open Healthcare LLMs
by: Gururajan, Ashwin Kumar, et al.
Published: (2024) -
ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation
by: Wu, Peiyang, et al.
Published: (2024)