parameter sensitivity

Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models EACL 2026 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design ICML 2025 Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models ACL 2025 Model Sensitivity Aware Continual Learning NeurIPS 2024 One-Shot Machine Unlearning with Mnemonic Code ACML 2024 Elastic Aggregation for Federated Optimization CVPR 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022 PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models EMNLP 2022 The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022 Learning sparse neural networks via sensitivity-driven regularization NeurIPS 2018 Replication issues in syntax-based aspect extraction for opinion mining EACL 2017