model compression

3283 papers

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MC

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knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025

AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning ICCV 2025

Large Language Models Are Overparameterized Text Encoders NAACL 2025

MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices ICCV 2025

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025

VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks CVPR 2025

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025

Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025

PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025

Scaling Down Text Encoders of Text-to-Image Diffusion Models CVPR 2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025

FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation CVPR 2025

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025

Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025

Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping ICCV 2025

Breaking the Encoder Barrier for Seamless Video-Language Understanding ICCV 2025

“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization ACL 2025

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models NAACL 2025

Representing 3D Shapes with 64 Latent Vectors for 3D Diffusion Models ICCV 2025

Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation ICCV 2025

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ACL 2025

Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025

EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025