Model Compression

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026 Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 DUP: Detection-guided Unlearning for Backdoor Purification in Language Models AAAI 2026 DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation EACL 2026 EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models ACL 2026 Efficient Model Specialization via Training-time and Test-time Adaptation AAAI 2026 Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026 EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens AAAI 2026 EQUIP: EQUivariant preserving In-Place updates for Efficient Token Pruning ACL 2026 Evolutionary Negative Module Pruning for Better LoRA Merging ACL 2026 FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training AAAI 2026 Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized 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 FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026 Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026 Foundry: Distilling 3D Foundation Models for the Edge CVPR 2026 FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026 From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 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