Model Compression

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025 FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression EMNLP 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization AAAI 2025 FastDraft: How to Train Your Draft ACL 2025 Faster Parameter-Efficient Tuning with Token Redundancy Reduction CVPR 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning ICCV 2025 FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference EMNLP 2025 FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation CVPR 2025 Find A Winning Sign: Sign Is All We Need to Win the Lottery ICLR 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 with Reserved Majority for Noise Reduction ICLR 2025 FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction EMNLP 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 FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression CVPR 2025 Flexible Group Count Enables Hassle-Free Structured Pruning CVPR 2025 FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute 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