model compression

DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression AAAI 2026 Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization AAAI 2026 Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026 EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 Expert Calibration Lens for Pruning Mixture of Experts ACL 2026 Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026 Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026 FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters CVPR 2026 Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026 FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026 FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026 Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026 Foundry: Distilling 3D Foundation Models for the Edge CVPR 2026 From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction ACL 2026 From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models ACL 2026 FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026 GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning AAAI 2026 Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts AAAI 2026 GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026 Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale EACL 2026 HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration AAAI 2026 HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution AAAI 2026 HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models CVPR 2026