Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Bozhou, Liang, Hao, Li, Yang, Fu, Fangcheng, Yin, Hongzhi, He, Conghui, Zhang, Wentao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
por: Liu, Zheng, et al.
Publicado: (2024)
por: Liu, Zheng, et al.
Publicado: (2024)
Are Bigger Encoders Always Better in Vision Large Models?
por: Li, Bozhou, et al.
Publicado: (2024)
por: Li, Bozhou, et al.
Publicado: (2024)
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
por: Li, Bozhou, et al.
Publicado: (2025)
por: Li, Bozhou, et al.
Publicado: (2025)
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
por: Lai, Peichao, et al.
Publicado: (2024)
por: Lai, Peichao, et al.
Publicado: (2024)
A Survey of Multimodal Large Language Model from A Data-centric Perspective
por: Bai, Tianyi, et al.
Publicado: (2024)
por: Bai, Tianyi, et al.
Publicado: (2024)
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks
por: Li, Zuguang, et al.
Publicado: (2024)
por: Li, Zuguang, et al.
Publicado: (2024)
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
por: Huang, Wenke, et al.
Publicado: (2024)
por: Huang, Wenke, et al.
Publicado: (2024)
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
por: Wang, Yulong, et al.
Publicado: (2024)
por: Wang, Yulong, et al.
Publicado: (2024)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
por: Lyu, Yougang, et al.
Publicado: (2024)
por: Lyu, Yougang, et al.
Publicado: (2024)
Unified Defense for Large Language Models against Jailbreak and Fine-Tuning Attacks in Education
por: Yi, Xin, et al.
Publicado: (2025)
por: Yi, Xin, et al.
Publicado: (2025)
Fine-Tuning Language Models with Reward Learning on Policy
por: Lang, Hao, et al.
Publicado: (2024)
por: Lang, Hao, et al.
Publicado: (2024)
GRATH: Gradual Self-Truthifying for Large Language Models
por: Chen, Weixin, et al.
Publicado: (2024)
por: Chen, Weixin, et al.
Publicado: (2024)
Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
por: Ruan, Zhiwen, et al.
Publicado: (2025)
por: Ruan, Zhiwen, et al.
Publicado: (2025)
Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning
por: Cao, Qinglong, et al.
Publicado: (2026)
por: Cao, Qinglong, et al.
Publicado: (2026)
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
por: Mecklenburg, Nick, et al.
Publicado: (2024)
por: Mecklenburg, Nick, et al.
Publicado: (2024)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
por: Wang, Fei, et al.
Publicado: (2024)
por: Wang, Fei, et al.
Publicado: (2024)
Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models
por: Zhang, Wuyang, et al.
Publicado: (2025)
por: Zhang, Wuyang, et al.
Publicado: (2025)
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2024)
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2024)
ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula
por: Zhang, ZiXuan, et al.
Publicado: (2025)
por: Zhang, ZiXuan, et al.
Publicado: (2025)
Data Proportion Detection for Optimized Data Management for Large Language Models
por: Liang, Hao, et al.
Publicado: (2024)
por: Liang, Hao, et al.
Publicado: (2024)
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
por: Tang, Zinan, et al.
Publicado: (2025)
por: Tang, Zinan, et al.
Publicado: (2025)
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
por: Lai, Peichao, et al.
Publicado: (2025)
por: Lai, Peichao, et al.
Publicado: (2025)
Boosting Large Language Models with Mask Fine-Tuning
por: Zhang, Mingyuan, et al.
Publicado: (2025)
por: Zhang, Mingyuan, et al.
Publicado: (2025)
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
por: Wu, Yichao, et al.
Publicado: (2024)
por: Wu, Yichao, et al.
Publicado: (2024)
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
por: Wu, Minghao, et al.
Publicado: (2024)
por: Wu, Minghao, et al.
Publicado: (2024)
Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities
por: Yan, Zhichao, et al.
Publicado: (2025)
por: Yan, Zhichao, et al.
Publicado: (2025)
Neural Probe-Based Hallucination Detection for Large Language Models
por: Liang, Shize, et al.
Publicado: (2025)
por: Liang, Shize, et al.
Publicado: (2025)
HART: Data-Driven Hallucination Attribution and Evidence-Based Tracing for Large Language Models
por: Liang, Shize, et al.
Publicado: (2026)
por: Liang, Shize, et al.
Publicado: (2026)
Safety-Aware Fine-Tuning of Large Language Models
por: Choi, Hyeong Kyu, et al.
Publicado: (2024)
por: Choi, Hyeong Kyu, et al.
Publicado: (2024)
Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
por: Deng, Jiaxin, et al.
Publicado: (2025)
por: Deng, Jiaxin, et al.
Publicado: (2025)
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
por: Wang, Weixuan, et al.
Publicado: (2025)
por: Wang, Weixuan, et al.
Publicado: (2025)
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
por: Sun, Linzhuang, et al.
Publicado: (2024)
por: Sun, Linzhuang, et al.
Publicado: (2024)
Unveiling the Generalization Power of Fine-Tuned Large Language Models
por: Yang, Haoran, et al.
Publicado: (2024)
por: Yang, Haoran, et al.
Publicado: (2024)
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
por: Liang, Hao, et al.
Publicado: (2026)
por: Liang, Hao, et al.
Publicado: (2026)
Privacy-Preserving Parameter-Efficient Fine-Tuning for Large Language Model Services
por: Li, Yansong, et al.
Publicado: (2023)
por: Li, Yansong, et al.
Publicado: (2023)
LegiLM: A Fine-Tuned Legal Language Model for Data Compliance
por: Zhu, Linkai, et al.
Publicado: (2024)
por: Zhu, Linkai, et al.
Publicado: (2024)
HFT: Half Fine-Tuning for Large Language Models
por: Hui, Tingfeng, et al.
Publicado: (2024)
por: Hui, Tingfeng, et al.
Publicado: (2024)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
por: Wang, Shaobo, et al.
Publicado: (2025)
por: Wang, Shaobo, et al.
Publicado: (2025)
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
por: Yi, Xin, et al.
Publicado: (2024)
por: Yi, Xin, et al.
Publicado: (2024)
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
por: Li, Wei, et al.
Publicado: (2024)
por: Li, Wei, et al.
Publicado: (2024)
Ejemplares similares
-
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
por: Liu, Zheng, et al.
Publicado: (2024) -
Are Bigger Encoders Always Better in Vision Large Models?
por: Li, Bozhou, et al.
Publicado: (2024) -
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
por: Li, Bozhou, et al.
Publicado: (2025) -
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
por: Lai, Peichao, et al.
Publicado: (2024) -
A Survey of Multimodal Large Language Model from A Data-centric Perspective
por: Bai, Tianyi, et al.
Publicado: (2024)