sparse fine-tuning

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation AAAI 2026 Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis ACL 2026 A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization AAAI 2025 DeFT-X: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer EMNLP 2025 Efficient Model Editing with Task-Localized Sparse Fine-tuning ICLR 2025 LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025 Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks NAACL 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024 Sparse is Enough in Fine-tuning Pre-trained Large Language Models ICML 2024 On the Effectiveness of Parameter-Efficient Fine-Tuning AAAI 2023 Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023 Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning EMNLP 2023 Composable Sparse Fine-Tuning for Cross-Lingual Transfer ACL 2022