Model Compression
1,896 papers
Papers per year
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7
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28
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348
437
83
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'25
Papers
FISTAPruner: Layer-wise Post-training Pruning for Large Language Models
EMNLP 2025
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
AAAI 2025
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
AAAI 2025
FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression
CVPR 2025
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
CVPR 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
ACL 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point
ACL 2025
FREE: Fast and Robust Vision Language Models with Early Exits
ACL 2025
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
AAAI 2025
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
AAAI 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
EMNLP 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
AAAI 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
EMNLP 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
AAAI 2025
Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models
EMNLP 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
ICCV 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation
EMNLP 2025
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
ACL 2025
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
AAAI 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
AAAI 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation
ACL 2025
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression
EMNLP 2025