:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Kolawole, Steven, Dery, Lucio, Kagy, Jean-François, Smith, Virginia, Neubig, Graham, Talwalkar, Ameet
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computation and Language
Accesso online:	https://arxiv.org/abs/2402.05406
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multitask Learning Can Improve Worst-Group Outcomes
di: Kulkarni, Atharva, et al.
Pubblicazione: (2023)

Agreement-Based Cascading for Efficient Inference
di: Kolawole, Steven, et al.
Pubblicazione: (2024)

Do LLMs exhibit human-like response biases? A case study in survey design
di: Tjuatja, Lindia, et al.
Pubblicazione: (2023)

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
di: Fu, Yao, et al.
Pubblicazione: (2025)

On Pruning State-Space LLMs
di: Ghattas, Tamer, et al.
Pubblicazione: (2025)

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
di: Lee, Jaeseong, et al.
Pubblicazione: (2024)

Grounding Multilingual Multimodal LLMs With Cultural Knowledge
di: Nyandwi, Jean de Dieu, et al.
Pubblicazione: (2025)

Pruning Strategies for Backdoor Defense in LLMs
di: Chapagain, Santosh, et al.
Pubblicazione: (2025)

Two-Stage Regularization-Based Structured Pruning for LLMs
di: Feng, Mingkuan, et al.
Pubblicazione: (2025)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
di: Le, Qi, et al.
Pubblicazione: (2025)

VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
di: Goel, Raghavv, et al.
Pubblicazione: (2025)

MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
di: Qin, Jiayu, et al.
Pubblicazione: (2025)

2SSP: A Two-Stage Framework for Structured Pruning of LLMs
di: Sandri, Fabrizio, et al.
Pubblicazione: (2025)

Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
di: Cunegatti, Elia, et al.
Pubblicazione: (2024)

Demystifying Long Chain-of-Thought Reasoning in LLMs
di: Yeo, Edward, et al.
Pubblicazione: (2025)

Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
di: Wang, Ziyan, et al.
Pubblicazione: (2025)

Dynamic Vocabulary Pruning in Early-Exit LLMs
di: Vincenti, Jort, et al.
Pubblicazione: (2024)

Structured Pruning for Diverse Best-of-N Reasoning Optimization
di: Nguyen, Hieu Trung, et al.
Pubblicazione: (2025)

Deterministic Differentiable Structured Pruning for Large Language Models
di: Huang, Weiyu, et al.
Pubblicazione: (2026)

Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
di: Sutawika, Lintang, et al.
Pubblicazione: (2026)

Learn Hard Problems During RL with Reference Guided Fine-tuning
di: Wu, Yangzhen, et al.
Pubblicazione: (2026)

REAM: Merging Improves Pruning of Experts in LLMs
di: Jha, Saurav, et al.
Pubblicazione: (2026)

DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
di: Gu, Tianteng, et al.
Pubblicazione: (2025)

Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
di: Cao, Mingyu, et al.
Pubblicazione: (2024)

DarwinLM: Evolutionary Structured Pruning of Large Language Models
di: Tang, Shengkun, et al.
Pubblicazione: (2025)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
di: Fernandes, Patrick, et al.
Pubblicazione: (2025)

What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
di: Awobade, Busayo, et al.
Pubblicazione: (2024)

Olica: Efficient Structured Pruning of Large Language Models without Retraining
di: He, Jiujun, et al.
Pubblicazione: (2025)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
di: Gao, Shangqian, et al.
Pubblicazione: (2024)

Earley-Driven Dynamic Pruning for Efficient Structured Decoding
di: Sun, Xintong, et al.
Pubblicazione: (2025)

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs
di: Si, Wai Man, et al.
Pubblicazione: (2026)

High-Layer Attention Pruning with Rescaling
di: Liu, Songtao, et al.
Pubblicazione: (2025)

IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
di: Li, Yixiao, et al.
Pubblicazione: (2025)

CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
di: Li, Shanda, et al.
Pubblicazione: (2025)

Structural Pruning of Pre-trained Language Models via Neural Architecture Search
di: Klein, Aaron, et al.
Pubblicazione: (2024)

Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models
di: Qian, Tianhao
Pubblicazione: (2026)

Fine-Tuning Language Models with Just Forward Passes
di: Malladi, Sadhika, et al.
Pubblicazione: (2023)

On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
di: Kurz, Simon, et al.
Pubblicazione: (2024)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
di: Zheng, Haotian, et al.
Pubblicazione: (2024)

Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
di: Dong, Harry, et al.
Pubblicazione: (2024)