Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Fuente:
arXiv
Saved in:
| Main Authors: | Kolawole, Steven, Dery, Lucio, Kagy, Jean-François, Smith, Virginia, Neubig, Graham, Talwalkar, Ameet |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agreement-Based Cascading for Efficient Inference
by: Kolawole, Steven, et al.
Published: (2024)
by: Kolawole, Steven, et al.
Published: (2024)
Multitask Learning Can Improve Worst-Group Outcomes
by: Kulkarni, Atharva, et al.
Published: (2023)
by: Kulkarni, Atharva, et al.
Published: (2023)
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)
by: Fu, Yao, et al.
Published: (2025)
Do LLMs exhibit human-like response biases? A case study in survey design
by: Tjuatja, Lindia, et al.
Published: (2023)
by: Tjuatja, Lindia, et al.
Published: (2023)
On Pruning State-Space LLMs
by: Ghattas, Tamer, et al.
Published: (2025)
by: Ghattas, Tamer, et al.
Published: (2025)
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
by: Lee, Jaeseong, et al.
Published: (2024)
by: Lee, Jaeseong, et al.
Published: (2024)
Pruning Strategies for Backdoor Defense in LLMs
by: Chapagain, Santosh, et al.
Published: (2025)
by: Chapagain, Santosh, et al.
Published: (2025)
Two-Stage Regularization-Based Structured Pruning for LLMs
by: Feng, Mingkuan, et al.
Published: (2025)
by: Feng, Mingkuan, et al.
Published: (2025)
Grounding Multilingual Multimodal LLMs With Cultural Knowledge
by: Nyandwi, Jean de Dieu, et al.
Published: (2025)
by: Nyandwi, Jean de Dieu, et al.
Published: (2025)
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)
by: Le, Qi, et al.
Published: (2025)
VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
by: Goel, Raghavv, et al.
Published: (2025)
by: Goel, Raghavv, et al.
Published: (2025)
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
by: Sandri, Fabrizio, et al.
Published: (2025)
by: Sandri, Fabrizio, et al.
Published: (2025)
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
by: Qin, Jiayu, et al.
Published: (2025)
by: Qin, Jiayu, et al.
Published: (2025)
Structured Pruning for Diverse Best-of-N Reasoning Optimization
by: Nguyen, Hieu Trung, et al.
Published: (2025)
by: Nguyen, Hieu Trung, et al.
Published: (2025)
Deterministic Differentiable Structured Pruning for Large Language Models
by: Huang, Weiyu, et al.
Published: (2026)
by: Huang, Weiyu, et al.
Published: (2026)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)
by: Vincenti, Jort, et al.
Published: (2024)
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
by: Gu, Tianteng, et al.
Published: (2025)
by: Gu, Tianteng, et al.
Published: (2025)
Demystifying Long Chain-of-Thought Reasoning in LLMs
by: Yeo, Edward, et al.
Published: (2025)
by: Yeo, Edward, et al.
Published: (2025)
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
by: Cunegatti, Elia, et al.
Published: (2024)
by: Cunegatti, Elia, et al.
Published: (2024)
DarwinLM: Evolutionary Structured Pruning of Large Language Models
by: Tang, Shengkun, et al.
Published: (2025)
by: Tang, Shengkun, et al.
Published: (2025)
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
by: Cao, Mingyu, et al.
Published: (2024)
by: Cao, Mingyu, et al.
Published: (2024)
REAM: Merging Improves Pruning of Experts in LLMs
by: Jha, Saurav, et al.
Published: (2026)
by: Jha, Saurav, et al.
Published: (2026)
Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
by: Sutawika, Lintang, et al.
Published: (2026)
by: Sutawika, Lintang, et al.
Published: (2026)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
by: He, Jiujun, et al.
Published: (2025)
by: He, Jiujun, et al.
Published: (2025)
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)
by: Gao, Shangqian, et al.
Published: (2024)
Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs
by: Si, Wai Man, et al.
Published: (2026)
by: Si, Wai Man, et al.
Published: (2026)
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
by: Fernandes, Patrick, et al.
Published: (2025)
by: Fernandes, Patrick, et al.
Published: (2025)
High-Layer Attention Pruning with Rescaling
by: Liu, Songtao, et al.
Published: (2025)
by: Liu, Songtao, et al.
Published: (2025)
Learn Hard Problems During RL with Reference Guided Fine-tuning
by: Wu, Yangzhen, et al.
Published: (2026)
by: Wu, Yangzhen, et al.
Published: (2026)
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
by: Awobade, Busayo, et al.
Published: (2024)
by: Awobade, Busayo, et al.
Published: (2024)
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
by: Klein, Aaron, et al.
Published: (2024)
by: Klein, Aaron, et al.
Published: (2024)
Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models
by: Qian, Tianhao
Published: (2026)
by: Qian, Tianhao
Published: (2026)
Earley-Driven Dynamic Pruning for Efficient Structured Decoding
by: Sun, Xintong, et al.
Published: (2025)
by: Sun, Xintong, et al.
Published: (2025)
Fine-Tuning Language Models with Just Forward Passes
by: Malladi, Sadhika, et al.
Published: (2023)
by: Malladi, Sadhika, et al.
Published: (2023)
IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)
by: Li, Yixiao, et al.
Published: (2025)
Disentangling the Roles of Representation and Selection in Data Pruning
by: Du, Yupei, et al.
Published: (2025)
by: Du, Yupei, et al.
Published: (2025)
Adaptive Pruning for Large Language Models with Structural Importance Awareness
by: Zheng, Haotian, et al.
Published: (2024)
by: Zheng, Haotian, et al.
Published: (2024)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
Sample-aware Adaptive Structured Pruning for Large Language Models
by: Kong, Jun, et al.
Published: (2025)
by: Kong, Jun, et al.
Published: (2025)
Similar Items
-
Agreement-Based Cascading for Efficient Inference
by: Kolawole, Steven, et al.
Published: (2024) -
Multitask Learning Can Improve Worst-Group Outcomes
by: Kulkarni, Atharva, et al.
Published: (2023) -
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025) -
Do LLMs exhibit human-like response biases? A case study in survey design
by: Tjuatja, Lindia, et al.
Published: (2023) -
On Pruning State-Space LLMs
by: Ghattas, Tamer, et al.
Published: (2025)