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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'25
Papers
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
ACL 2025
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
AAAI 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
CVPR 2025
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
CVPR 2025
AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
ICLR 2025
Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
SemEval 2025
AutoIntent: AutoML for Text Classification
EMNLP 2025
Automated Fine-Grained Mixture-of-Experts Quantization
ACL 2025
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety
EMNLP 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models
EMNLP 2025
BeamLoRA: Beam-Constraint Low-Rank Adaptation
ACL 2025
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
COLING 2025
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression
EMNLP 2025
Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes.
ICCV 2025
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
ICCV 2025
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
COLING 2025
Binarized Neural Network for Multi-spectral Image Fusion
CVPR 2025
BlockPruner: Fine-grained Pruning for Large Language Models
ACL 2025
Boost Embodied AI Models with Robust Compression Boundary
IJCAI 2025
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
ACL 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability
EMNLP 2025
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
AAAI 2025
CASP: Compression of Large Multimodal Models Based on Attention Sparsity
CVPR 2025
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
ACL 2025
Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks
ACL 2025