Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
Fuente:
arXiv
Saved in:
| Main Authors: | Monaco, Francesco Pio, Cunegatti, Elia, Vella, Flavio, Iacca, Giovanni |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
by: Gao, Yifei, et al.
Published: (2024)
by: Gao, Yifei, et al.
Published: (2024)
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)
by: Peters, Sydney, et al.
Published: (2025)
UrduLLaMA 1.0: Dataset Curation, Preprocessing, and Evaluation in Low-Resource Settings
by: Fiaz, Layba, et al.
Published: (2025)
by: Fiaz, Layba, et al.
Published: (2025)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)
by: Saji, Alan, et al.
Published: (2025)
Serialisation Strategy Matters: How FHIR Data Format Affects LLM Medication Reconciliation
by: Pator, Sanjoy
Published: (2026)
by: Pator, Sanjoy
Published: (2026)
Bielik-Minitron-7B: Compressing Large Language Models via Structured Pruning and Knowledge Distillation for the Polish Language
by: Kinas, Remigiusz, et al.
Published: (2026)
by: Kinas, Remigiusz, et al.
Published: (2026)
$\rm SP^3$: Enhancing Structured Pruning via PCA Projection
by: Hu, Yuxuan, et al.
Published: (2023)
by: Hu, Yuxuan, et al.
Published: (2023)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
by: Zhang, Zhengxin, et al.
Published: (2024)
by: Zhang, Zhengxin, et al.
Published: (2024)
UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
by: Chen, Fengjiao, et al.
Published: (2025)
by: Chen, Fengjiao, et al.
Published: (2025)
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)
by: Yuan, Xin, et al.
Published: (2025)
NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2
by: Xue, Tengfei, et al.
Published: (2024)
by: Xue, Tengfei, et al.
Published: (2024)
QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)
by: Khanna, Danush, et al.
Published: (2025)
Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
Low-Resource Court Judgment Summarization for Common Law Systems
by: Liu, Shuaiqi, et al.
Published: (2024)
by: Liu, Shuaiqi, et al.
Published: (2024)
Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning
by: Ming, Xiaoyang, et al.
Published: (2026)
by: Ming, Xiaoyang, et al.
Published: (2026)
Detecting Data Contamination in LLMs via In-Context Learning
by: Zawalski, Michał, et al.
Published: (2025)
by: Zawalski, Michał, et al.
Published: (2025)
Combining Data Generation and Active Learning for Low-Resource Question Answering
by: Kimmich, Maximilian, et al.
Published: (2022)
by: Kimmich, Maximilian, et al.
Published: (2022)
Semantic Delta: An Interpretable Signal Differentiating Human and LLMs Dialogue
by: Scantamburlo, Riccardo, et al.
Published: (2026)
by: Scantamburlo, Riccardo, et al.
Published: (2026)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)
by: Iida, Kurando, et al.
Published: (2024)
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)
by: Ovcharov, Volodymyr
Published: (2026)
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
by: Hong, Colin, et al.
Published: (2025)
by: Hong, Colin, et al.
Published: (2025)
Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents
by: Kim, San, et al.
Published: (2024)
by: Kim, San, et al.
Published: (2024)
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts
by: Martin, Liu O., et al.
Published: (2026)
by: Martin, Liu O., et al.
Published: (2026)
The Dual-Route Model of Induction
by: Feucht, Sheridan, et al.
Published: (2025)
by: Feucht, Sheridan, et al.
Published: (2025)
Language Models are Crossword Solvers
by: Saha, Soumadeep, et al.
Published: (2024)
by: Saha, Soumadeep, et al.
Published: (2024)
Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)
by: Hillier, Dylan, et al.
Published: (2024)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Adaptive Focus Memory for Language Models
by: Cruz, Christopher
Published: (2025)
by: Cruz, Christopher
Published: (2025)
Synergy: End-to-end Concept Model
by: Zheng, Keli, et al.
Published: (2025)
by: Zheng, Keli, et al.
Published: (2025)
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
by: Vrettos, Konstantinos, et al.
Published: (2025)
by: Vrettos, Konstantinos, et al.
Published: (2025)
Do Biased Models Have Biased Thoughts?
by: Rajwal, Swati, et al.
Published: (2025)
by: Rajwal, Swati, et al.
Published: (2025)
Language Model Circuits Are Sparse in the Neuron Basis
by: Arora, Aryaman, et al.
Published: (2026)
by: Arora, Aryaman, et al.
Published: (2026)
Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)
by: Dalal, Dhairya, et al.
Published: (2024)
Future Language Modeling from Temporal Document History
by: Li, Changmao, et al.
Published: (2024)
by: Li, Changmao, et al.
Published: (2024)
Streamlining Redundant Layers to Compress Large Language Models
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
Similar Items
-
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
by: Gao, Yifei, et al.
Published: (2024) -
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025) -
UrduLLaMA 1.0: Dataset Curation, Preprocessing, and Evaluation in Low-Resource Settings
by: Fiaz, Layba, et al.
Published: (2025) -
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025) -
Serialisation Strategy Matters: How FHIR Data Format Affects LLM Medication Reconciliation
by: Pator, Sanjoy
Published: (2026)