Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Lingyuan, Zhang, Mengxiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025)
by: Zhang, Xue, et al.
Published: (2025)
KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
by: Zhang, Songming, et al.
Published: (2026)
by: Zhang, Songming, et al.
Published: (2026)
GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
Delta Knowledge Distillation for Large Language Models
by: Cao, Yihan, et al.
Published: (2025)
by: Cao, Yihan, et al.
Published: (2025)
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)
by: Yang, Runming, et al.
Published: (2024)
Curriculum Learning-Guided Progressive Distillation in Large Language Models
by: Cao, Jincheng, et al.
Published: (2026)
by: Cao, Jincheng, et al.
Published: (2026)
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
by: Jin, Yiqiao, et al.
Published: (2026)
by: Jin, Yiqiao, et al.
Published: (2026)
Structured Agent Distillation for Large Language Model
by: Liu, Jun, et al.
Published: (2025)
by: Liu, Jun, et al.
Published: (2025)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
Compact Language Models via Pruning and Knowledge Distillation
by: Muralidharan, Saurav, et al.
Published: (2024)
by: Muralidharan, Saurav, et al.
Published: (2024)
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
by: Yu, Zhuohao, et al.
Published: (2024)
by: Yu, Zhuohao, et al.
Published: (2024)
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
by: Wang, Fali, et al.
Published: (2024)
by: Wang, Fali, et al.
Published: (2024)
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
by: Zhou, Zhanhui, et al.
Published: (2024)
by: Zhou, Zhanhui, et al.
Published: (2024)
AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
by: Samuel, Dinesh Jackson, et al.
Published: (2025)
by: Samuel, Dinesh Jackson, et al.
Published: (2025)
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
by: Li, Yaxuan, et al.
Published: (2026)
by: Li, Yaxuan, et al.
Published: (2026)
Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models
by: Bhardwaj, Kartikeya, et al.
Published: (2024)
by: Bhardwaj, Kartikeya, et al.
Published: (2024)
Large Language Models can be Strong Self-Detoxifiers
by: Ko, Ching-Yun, et al.
Published: (2024)
by: Ko, Ching-Yun, et al.
Published: (2024)
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)
by: Liu, Xiaoze, et al.
Published: (2024)
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
by: Pang, Jing-Cheng, et al.
Published: (2024)
by: Pang, Jing-Cheng, et al.
Published: (2024)
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
by: Shing, Makoto, et al.
Published: (2025)
by: Shing, Makoto, et al.
Published: (2025)
Enhancing CLIP Conceptual Embedding through Knowledge Distillation
by: Kao, Kuei-Chun
Published: (2024)
by: Kao, Kuei-Chun
Published: (2024)
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
DistiLLM: Towards Streamlined Distillation for Large Language Models
by: Ko, Jongwoo, et al.
Published: (2024)
by: Ko, Jongwoo, et al.
Published: (2024)
YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
by: Huang, Yuncheng, et al.
Published: (2023)
by: Huang, Yuncheng, et al.
Published: (2023)
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2024)
by: Zhang, Jiaxin, et al.
Published: (2024)
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
by: Kim, Gyeongman, et al.
Published: (2025)
by: Kim, Gyeongman, et al.
Published: (2025)
KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
by: Zheng, Shangshang, et al.
Published: (2023)
by: Zheng, Shangshang, et al.
Published: (2023)
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
by: Liu, Ben, et al.
Published: (2024)
by: Liu, Ben, et al.
Published: (2024)
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
by: Jeong, Daniel P., et al.
Published: (2024)
by: Jeong, Daniel P., et al.
Published: (2024)
Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)
by: Wang, Ziquan, et al.
Published: (2026)
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
by: Messina, Pablo, et al.
Published: (2024)
by: Messina, Pablo, et al.
Published: (2024)
SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
by: Zhu, Hourun, et al.
Published: (2025)
by: Zhu, Hourun, et al.
Published: (2025)
Knowledge Fusion of Large Language Models Via Modular SkillPacks
by: Du, Guodong, et al.
Published: (2025)
by: Du, Guodong, et al.
Published: (2025)
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
by: Lin, Xuan, et al.
Published: (2025)
by: Lin, Xuan, et al.
Published: (2025)
Similar Items
-
Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models
by: Liu, Lingyuan, et al.
Published: (2025) -
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
by: Liu, Lingyuan, et al.
Published: (2025) -
A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025) -
KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
by: Zhang, Songming, et al.
Published: (2026) -
GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
by: Liu, Lingyuan, et al.
Published: (2025)