Cover Image

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xiang, Liu, Zhaoxiang, Wang, Peng, Wang, Kohou, Hu, Huan, Wang, Kai, Lian, Shiguo
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models
by: Wang, Kohou, et al.
Published: (2024)

A Large Vision-Language Model based Environment Perception System for Visually Impaired People
by: Chen, Zezhou, et al.
Published: (2025)

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis
by: Liu, Xiang, et al.
Published: (2025)

Hierarchical Deep Fusion Framework for Multi-dimensional Facial Forgery Detection -- The 2024 Global Deepfake Image Detection Challenge
by: Wang, Kohou, et al.
Published: (2025)

Methodology of Adapting Large English Language Models for Specific Cultural Contexts
by: Zhang, Wenjing, et al.
Published: (2024)

Mixture of Heterogeneous Grouped Experts for Language Modeling
by: Ma, Zhicheng, et al.
Published: (2026)

CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
by: Zhang, Wenjing, et al.
Published: (2024)

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
by: Chen, Ping, et al.
Published: (2025)

What is the best model? Application-driven Evaluation for Large Language Models
by: Lian, Shiguo, et al.
Published: (2024)

iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement
by: Wang, Kohou, et al.
Published: (2025)

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
by: Zeng, Zheni, et al.
Published: (2024)

Efficiently Building a Domain-Specific Large Language Model from Scratch: A Case Study of a Classical Chinese Large Language Model
by: Li, Shen, et al.
Published: (2025)

Domain-Specific Data Generation Framework for RAG Adaptation
by: Tian, Chris Xing, et al.
Published: (2025)

Optimizing for the Shortest Path in Denoising Diffusion Model
by: Chen, Ping, et al.
Published: (2025)

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
by: Hu, Xiaolin, et al.
Published: (2024)

HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment
by: Wu, Ruijia, et al.
Published: (2025)

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
by: Liao, Xiaoxuan, et al.
Published: (2025)

Safety Evaluation of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)

PSTF-AttControl: Per-Subject-Tuning-Free Personalized Image Generation with Controllable Face Attributes
by: liu, Xiang, et al.
Published: (2025)

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
by: Liu, An, et al.
Published: (2024)

Sparser Block-Sparse Attention via Token Permutation
by: Wang, Xinghao, et al.
Published: (2025)

GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
by: Wu, Zihui, et al.
Published: (2024)

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

DDK: Distilling Domain Knowledge for Efficient Large Language Models
by: Liu, Jiaheng, et al.
Published: (2024)

LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models
by: Sun, Chongyan, et al.
Published: (2024)

The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
by: Zhang, Hangfan, et al.
Published: (2025)

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition
by: Liu, Zhaoxiang, et al.
Published: (2026)

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
by: Shi, Zhengpeng, et al.
Published: (2024)

Patch-wise Auto-Encoder for Visual Anomaly Detection
by: Cui, Yajie, et al.
Published: (2023)

TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image
by: Han, Liming, et al.
Published: (2024)

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
by: Zhang, Yuanchi, et al.
Published: (2024)

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
by: Beigi, Alimohammad, et al.
Published: (2024)

Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
by: Dong, Zican, et al.
Published: (2025)

Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
by: Liu, Xiaoran, et al.
Published: (2025)

Efficient Continual Pre-training for Building Domain Specific Large Language Models
by: Xie, Yong, et al.
Published: (2023)

Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
by: Wang, Rui, et al.
Published: (2024)

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

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
by: Liu, Zheng, et al.
Published: (2023)

SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models
by: Zhao, Shujuan, et al.
Published: (2024)

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
by: Huo, Jiahao, et al.
Published: (2024)