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model pruning

270 papers

Papers

Math Neurosurgery: Isolating Language Models’ Math Reasoning Abilities Using Only Forward Passes ACL 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Mobile Video Diffusion ICCV 2025 Multilingual Iterative Model Pruning: What Matters? IJCNLP 2025 M-Wanda: Improving One-Shot Pruning for Multilingual LLMs EMNLP 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025 On Pruning State-Space LLMs EMNLP 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025 Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework ICLR 2025 Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models ICCV 2025 Pruning Large Language Models with Semi-Structural Adaptive Sparse Training AAAI 2025 Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias EMNLP 2025 Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs EMNLP 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks ICLR 2025 Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025 Self-calibration for Language Model Quantization and Pruning NAACL 2025 Structured Pruning for Diverse Best-of-N Reasoning Optimization ACL 2025 STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025 Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs IJCNLP 2025 TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025 Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization AAAI 2025