Model Compression
1,736 papers
Papers per year
2
2
2
6
3
4
6
15
39
65
130
195
195
206
392
459
15
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'15
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'25
Papers
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion
ACL 2025
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
NAACL 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
ACL 2025
Make Your Training Flexible: Towards Deployment-Efficient Video Models
ICCV 2025
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
ICLR 2025
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings
EMNLP 2025
Math Neurosurgery: Isolating Language Models’ Math Reasoning Abilities Using Only Forward Passes
ACL 2025
Maximizing the Effectiveness of Larger BERT Models for Compression
ACL 2025
MBQ: Modality-Balanced Quantization for Large Vision-Language Models
CVPR 2025
MDP: Multidimensional Vision Model Pruning with Latency Constraint
CVPR 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks
CVPR 2025
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes
ICCV 2025
Memory-Efficient 4-bit Preconditioned Stochastic Optimization
ICCV 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
EMNLP 2025
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
ACL 2025
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
ACL 2025
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
ICLR 2025
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
ICCV 2025
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
AAAI 2025
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
CVPR 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs
IJCAI 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches
AAAI 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
EMNLP 2025
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression
EMNLP 2025
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models
EMNLP 2025