Learning Dynamics in Continual Pre-Training for Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Wang, Xingjin, Tissue, Howe, Wang, Lu, Li, Linjing, Zeng, Daniel Dajun |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Scaling Law with Learning Rate Annealing
par: Tissue, Howe, et autres
Publié: (2024)
par: Tissue, Howe, et autres
Publié: (2024)
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
par: Zhang, Mozhi, et autres
Publié: (2025)
par: Zhang, Mozhi, et autres
Publié: (2025)
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
par: Zhuang, Yuchen, et autres
Publié: (2025)
par: Zhuang, Yuchen, et autres
Publié: (2025)
Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
par: Abbes, Istabrak, et autres
Publié: (2025)
par: Abbes, Istabrak, et autres
Publié: (2025)
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
par: Wang, Yifei, et autres
Publié: (2024)
par: Wang, Yifei, et autres
Publié: (2024)
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
par: Fu, Xue-Yong, et autres
Publié: (2025)
par: Fu, Xue-Yong, et autres
Publié: (2025)
Continual Learning of Large Language Models: A Comprehensive Survey
par: Shi, Haizhou, et autres
Publié: (2024)
par: Shi, Haizhou, et autres
Publié: (2024)
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
par: Wang, Yiping, et autres
Publié: (2025)
par: Wang, Yiping, et autres
Publié: (2025)
Token-Efficient Leverage Learning in Large Language Models
par: Zeng, Yuanhao, et autres
Publié: (2024)
par: Zeng, Yuanhao, et autres
Publié: (2024)
Reinforcement Learning on Pre-Training Data
par: Li, Siheng, et autres
Publié: (2025)
par: Li, Siheng, et autres
Publié: (2025)
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
par: Zhuo, Zhijian, et autres
Publié: (2024)
par: Zhuo, Zhijian, et autres
Publié: (2024)
Simple and Scalable Strategies to Continually Pre-train Large Language Models
par: Ibrahim, Adam, et autres
Publié: (2024)
par: Ibrahim, Adam, et autres
Publié: (2024)
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
par: Schröder, Christopher, et autres
Publié: (2024)
par: Schröder, Christopher, et autres
Publié: (2024)
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
par: Park, Jungwoo, et autres
Publié: (2025)
par: Park, Jungwoo, et autres
Publié: (2025)
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
par: Zhang, Jun, et autres
Publié: (2025)
par: Zhang, Jun, et autres
Publié: (2025)
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness
par: Hillebrand, Lars, et autres
Publié: (2024)
par: Hillebrand, Lars, et autres
Publié: (2024)
Large Language Models Explore by Latent Distilling
par: Zeng, Yuanhao, et autres
Publié: (2026)
par: Zeng, Yuanhao, et autres
Publié: (2026)
Knowledge Boundary Discovery for Large Language Models
par: Wang, Ziquan, et autres
Publié: (2026)
par: Wang, Ziquan, et autres
Publié: (2026)
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
par: Feng, Yujie, et autres
Publié: (2025)
par: Feng, Yujie, et autres
Publié: (2025)
Training Optimal Large Diffusion Language Models
par: Ni, Jinjie, et autres
Publié: (2025)
par: Ni, Jinjie, et autres
Publié: (2025)
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
par: Shi, Haizhou, et autres
Publié: (2024)
par: Shi, Haizhou, et autres
Publié: (2024)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
par: Xi, Zhiheng, et autres
Publié: (2024)
par: Xi, Zhiheng, et autres
Publié: (2024)
Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models
par: Wang, Wei, et autres
Publié: (2024)
par: Wang, Wei, et autres
Publié: (2024)
JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
par: Dragomir, Alexandra, et autres
Publié: (2026)
par: Dragomir, Alexandra, et autres
Publié: (2026)
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
par: Araujo, Vladimir, et autres
Publié: (2024)
par: Araujo, Vladimir, et autres
Publié: (2024)
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
par: Zhang, Lihong, et autres
Publié: (2025)
par: Zhang, Lihong, et autres
Publié: (2025)
LocMoE: A Low-Overhead MoE for Large Language Model Training
par: Li, Jing, et autres
Publié: (2024)
par: Li, Jing, et autres
Publié: (2024)
Training Large Language Models To Reason In Parallel With Global Forking Tokens
par: Jia, Sheng, et autres
Publié: (2025)
par: Jia, Sheng, et autres
Publié: (2025)
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning
par: Zhao, Shiwan, et autres
Publié: (2026)
par: Zhao, Shiwan, et autres
Publié: (2026)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
par: Song, Weixi, et autres
Publié: (2023)
par: Song, Weixi, et autres
Publié: (2023)
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
par: Yi, Rongjie, et autres
Publié: (2024)
par: Yi, Rongjie, et autres
Publié: (2024)
Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
par: Gui, Xiongbin, et autres
Publié: (2025)
par: Gui, Xiongbin, et autres
Publié: (2025)
Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
par: Hassan, Muhammad Taimoor, et autres
Publié: (2026)
par: Hassan, Muhammad Taimoor, et autres
Publié: (2026)
Sliding Window Attention Training for Efficient Large Language Models
par: Fu, Zichuan, et autres
Publié: (2025)
par: Fu, Zichuan, et autres
Publié: (2025)
Interactions Across Blocks in Post-Training Quantization of Large Language Models
par: Shabanovi, Khasmamad, et autres
Publié: (2024)
par: Shabanovi, Khasmamad, et autres
Publié: (2024)
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
par: Wang, Jiahao, et autres
Publié: (2024)
par: Wang, Jiahao, et autres
Publié: (2024)
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
par: Lin, Xuan, et autres
Publié: (2025)
par: Lin, Xuan, et autres
Publié: (2025)
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
par: Khan, Rana Muhammad Shahroz, et autres
Publié: (2024)
par: Khan, Rana Muhammad Shahroz, et autres
Publié: (2024)
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
par: Feng, Yujie, et autres
Publié: (2026)
par: Feng, Yujie, et autres
Publié: (2026)
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
par: Chen, Mengzhao, et autres
Publié: (2024)
par: Chen, Mengzhao, et autres
Publié: (2024)
Documents similaires
-
Scaling Law with Learning Rate Annealing
par: Tissue, Howe, et autres
Publié: (2024) -
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
par: Zhang, Mozhi, et autres
Publié: (2025) -
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
par: Zhuang, Yuchen, et autres
Publié: (2025) -
Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
par: Abbes, Istabrak, et autres
Publié: (2025) -
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
par: Wang, Yifei, et autres
Publié: (2024)