Towards Lifelong Learning of Large Language Models: A Survey
Fuente:
arXiv
Guardado en:
| Autores principales: | Zheng, Junhao, Qiu, Shengjie, Shi, Chengming, Ma, Qianli |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
por: Zheng, Junhao, et al.
Publicado: (2023)
por: Zheng, Junhao, et al.
Publicado: (2023)
Can LLMs Learn New Concepts Incrementally without Forgetting?
por: Zheng, Junhao, et al.
Publicado: (2024)
por: Zheng, Junhao, et al.
Publicado: (2024)
Incremental Sequence Labeling: A Tale of Two Shifts
por: Qiu, Shengjie, et al.
Publicado: (2024)
por: Qiu, Shengjie, et al.
Publicado: (2024)
Spurious Forgetting in Continual Learning of Language Models
por: Zheng, Junhao, et al.
Publicado: (2025)
por: Zheng, Junhao, et al.
Publicado: (2025)
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
por: Liu, Junlong, et al.
Publicado: (2024)
por: Liu, Junlong, et al.
Publicado: (2024)
A Survey of On-Policy Distillation for Large Language Models
por: Song, Mingyang, et al.
Publicado: (2026)
por: Song, Mingyang, et al.
Publicado: (2026)
Continual Learning for Large Language Models: A Survey
por: Wu, Tongtong, et al.
Publicado: (2024)
por: Wu, Tongtong, et al.
Publicado: (2024)
Continual Learning of Large Language Models: A Comprehensive Survey
por: Shi, Haizhou, et al.
Publicado: (2024)
por: Shi, Haizhou, et al.
Publicado: (2024)
More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
por: Ma, Xin, et al.
Publicado: (2026)
por: Ma, Xin, et al.
Publicado: (2026)
Social Learning: Towards Collaborative Learning with Large Language Models
por: Mohtashami, Amirkeivan, et al.
Publicado: (2023)
por: Mohtashami, Amirkeivan, et al.
Publicado: (2023)
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
por: Ashiga, Mari, et al.
Publicado: (2025)
por: Ashiga, Mari, et al.
Publicado: (2025)
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
por: Cai, Hengrui, et al.
Publicado: (2023)
por: Cai, Hengrui, et al.
Publicado: (2023)
A Survey on Mixture of Experts in Large Language Models
por: Cai, Weilin, et al.
Publicado: (2024)
por: Cai, Weilin, et al.
Publicado: (2024)
Large Language Models on Graphs: A Comprehensive Survey
por: Jin, Bowen, et al.
Publicado: (2023)
por: Jin, Bowen, et al.
Publicado: (2023)
DavIR: Data Selection via Implicit Reward for Large Language Models
por: Zhou, Haotian, et al.
Publicado: (2023)
por: Zhou, Haotian, et al.
Publicado: (2023)
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models
por: Jin, Linghao, et al.
Publicado: (2024)
por: Jin, Linghao, et al.
Publicado: (2024)
A Survey on Symbolic Knowledge Distillation of Large Language Models
por: Acharya, Kamal, et al.
Publicado: (2024)
por: Acharya, Kamal, et al.
Publicado: (2024)
A Survey on Training-free Alignment of Large Language Models
por: Pan, Birong, et al.
Publicado: (2025)
por: Pan, Birong, et al.
Publicado: (2025)
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
por: Han, Zongbo, et al.
Publicado: (2024)
por: Han, Zongbo, et al.
Publicado: (2024)
LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
por: Li, Junsong, et al.
Publicado: (2025)
por: Li, Junsong, et al.
Publicado: (2025)
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
por: Lin, Qika, et al.
Publicado: (2025)
por: Lin, Qika, et al.
Publicado: (2025)
Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection
por: Liu, Junhao, et al.
Publicado: (2026)
por: Liu, Junhao, et al.
Publicado: (2026)
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
por: Chen, Sirui, et al.
Publicado: (2025)
por: Chen, Sirui, et al.
Publicado: (2025)
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
por: Wang, Qianli, et al.
Publicado: (2024)
por: Wang, Qianli, et al.
Publicado: (2024)
Data Mixing for Large Language Models Pretraining: A Survey and Outlook
por: Chen, Zhuo, et al.
Publicado: (2026)
por: Chen, Zhuo, et al.
Publicado: (2026)
Lifelong Safety Alignment for Language Models
por: Wang, Haoyu, et al.
Publicado: (2025)
por: Wang, Haoyu, et al.
Publicado: (2025)
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
por: Wang, Qianli, et al.
Publicado: (2024)
por: Wang, Qianli, et al.
Publicado: (2024)
Distilling Large Language Models for Text-Attributed Graph Learning
por: Pan, Bo, et al.
Publicado: (2024)
por: Pan, Bo, et al.
Publicado: (2024)
Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies
por: Pathak, Surendra, et al.
Publicado: (2026)
por: Pathak, Surendra, et al.
Publicado: (2026)
Harnessing Large Language Models for Disaster Management: A Survey
por: Lei, Zhenyu, et al.
Publicado: (2025)
por: Lei, Zhenyu, et al.
Publicado: (2025)
Multimodal Large Language Models for Medicine: A Comprehensive Survey
por: Ye, Jiarui, et al.
Publicado: (2025)
por: Ye, Jiarui, et al.
Publicado: (2025)
A Closer Look into Mixture-of-Experts in Large Language Models
por: Lo, Ka Man, et al.
Publicado: (2024)
por: Lo, Ka Man, et al.
Publicado: (2024)
Thermometer: Towards Universal Calibration for Large Language Models
por: Shen, Maohao, et al.
Publicado: (2024)
por: Shen, Maohao, et al.
Publicado: (2024)
From Imitation to Introspection: Probing Self-Consciousness in Language Models
por: Chen, Sirui, et al.
Publicado: (2024)
por: Chen, Sirui, et al.
Publicado: (2024)
A Survey of Reinforcement Learning for Large Reasoning Models
por: Zhang, Kaiyan, et al.
Publicado: (2025)
por: Zhang, Kaiyan, et al.
Publicado: (2025)
Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
por: Wang, Qianli, et al.
Publicado: (2026)
por: Wang, Qianli, et al.
Publicado: (2026)
Towards Incremental Learning in Large Language Models: A Critical Review
por: Jovanovic, Mladjan, et al.
Publicado: (2024)
por: Jovanovic, Mladjan, et al.
Publicado: (2024)
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models
por: Qi, Zhen, et al.
Publicado: (2024)
por: Qi, Zhen, et al.
Publicado: (2024)
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
por: Wang, Xindi, et al.
Publicado: (2024)
por: Wang, Xindi, et al.
Publicado: (2024)
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
por: Liu, Lei, et al.
Publicado: (2024)
por: Liu, Lei, et al.
Publicado: (2024)
Ejemplares similares
-
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
por: Zheng, Junhao, et al.
Publicado: (2023) -
Can LLMs Learn New Concepts Incrementally without Forgetting?
por: Zheng, Junhao, et al.
Publicado: (2024) -
Incremental Sequence Labeling: A Tale of Two Shifts
por: Qiu, Shengjie, et al.
Publicado: (2024) -
Spurious Forgetting in Continual Learning of Language Models
por: Zheng, Junhao, et al.
Publicado: (2025) -
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
por: Liu, Junlong, et al.
Publicado: (2024)