model compression

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models AAAI 2026 MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026 MM-SeR: Multimodal Self-Refinement for Lightweight Image Captioning CVPR 2026 MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings AAAI 2026 Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models CVPR 2026 Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships WACV 2026 NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations AAAI 2026 NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices CVPR 2026 OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026 One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026 PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026 Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026 Plasticity vs. Rigidity: The Impact of Low-Rank Adapters on Reasoning on a Micro-Budget EACL 2026 Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers CVPR 2026 ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026 Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation AAAI 2026 QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models CVPR 2026 Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable AAAI 2026 ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026 Renormalization Group Guided Tensor Network Structure Search AAAI 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026 Saliency-Driven Token Merging for Vision Transformers CVPR 2026 SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models AAAI 2026 SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model AAAI 2026