model compression

FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference IJCNLP 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation CVPR 2025 Findings of the IWSLT 2025 Evaluation Campaign ACL 2025 Findings of the WMT 2025 Shared Task on Model Compression: Early Insights on Compressing LLMs for Machine Translation EMNLP 2025 Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization Interspeech 2025 Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think WACV 2025 FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025 Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models AAAI 2025 FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting CVPR 2025 Flexible Group Count Enables Hassle-Free Structured Pruning CVPR 2025 FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025 FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization EMNLP 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025 FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference EMNLP 2025 FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance ICCV 2025 Forget the Data and Fine-Tuning! Just Fold the Network to Compress ICLR 2025 FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025 FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression EMNLP 2025 FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025 Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025