Delta Knowledge Distillation for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Yihan, Kang, Yanbin, Xing, Zhengming, Jiang, Ruijie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)
by: Cao, Yihan, et al.
Published: (2023)
An Efficient Inference Framework for Early-exit Large Language Models
by: Miao, Ruijie, et al.
Published: (2024)
by: Miao, Ruijie, et al.
Published: (2024)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)
by: Zhou, Chenxi, 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)
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)
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Benchmarking Benchmark Leakage in Large Language Models
by: Xu, Ruijie, et al.
Published: (2024)
by: Xu, Ruijie, et al.
Published: (2024)
Compact Language Models via Pruning and Knowledge Distillation
by: Muralidharan, Saurav, et al.
Published: (2024)
by: Muralidharan, Saurav, et al.
Published: (2024)
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)
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
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)
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)
DistiLLM: Towards Streamlined Distillation for Large Language Models
by: Ko, Jongwoo, et al.
Published: (2024)
by: Ko, Jongwoo, 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)
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, 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)
Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)
by: Wang, Ziquan, et al.
Published: (2026)
SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
by: Zhu, Hourun, et al.
Published: (2025)
by: Zhu, Hourun, 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)
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)
by: Kim, Gyeongman, et al.
Published: (2024)
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)
by: Song, Xiaoshuai, et al.
Published: (2024)
Knowledge-based Consistency Testing of Large Language Models
by: Rajan, Sai Sathiesh, et al.
Published: (2024)
by: Rajan, Sai Sathiesh, et al.
Published: (2024)
Rethinking Data Mixing from the Perspective of Large Language Models
by: Xu, Yuanjian, et al.
Published: (2026)
by: Xu, Yuanjian, et al.
Published: (2026)
Delta Activations: A Representation for Finetuned Large Language Models
by: Xu, Zhiqiu, et al.
Published: (2025)
by: Xu, Zhiqiu, et al.
Published: (2025)
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)
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)
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)
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023)
by: Zhou, Yongchao, et al.
Published: (2023)
On Teacher Hacking in Language Model Distillation
by: Tiapkin, Daniil, et al.
Published: (2025)
by: Tiapkin, Daniil, et al.
Published: (2025)
Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)
by: Yao, Siyu, et al.
Published: (2019)
Dist2ill: Distributional Distillation for One-Pass Uncertainty Estimation in Large Language Models
by: Zhao, Yicong, et al.
Published: (2025)
by: Zhao, Yicong, et al.
Published: (2025)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)
by: Wang, Ruijie, et al.
Published: (2019)
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)
by: Yu, Fengming, 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)
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
by: Huang, Yukun, et al.
Published: (2025)
by: Huang, Yukun, et al.
Published: (2025)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Similar Items
-
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023) -
An Efficient Inference Framework for Early-exit Large Language Models
by: Miao, Ruijie, et al.
Published: (2024) -
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025) -
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024) -
A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025)