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Model Compression

2,258 papers

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Papers

Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness Across Diverse Tasks WACV 2025 Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025 Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much) IJCNLP 2025 Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025 Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025 REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space ACL 2025 reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025 Riemannian Optimization for LoRA on the Stiefel Manifold EMNLP 2025 Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation ICML 2025 RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025 RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction ICLR 2025 Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025 Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions ICLR 2025 Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer EMNLP 2025 Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025 RQT: Hierarchical Residual Quantization for Multi-Model Compression ACL 2025 SAFE: Finding Sparse and Flat Minima to Improve Pruning ICML 2025 SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models ACL 2025 SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation ICLR 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression AAAI 2025 Scaling Laws for Floating–Point Quantization Training ICML 2025 ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction AAAI 2025 SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models CVPR 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning ICLR 2025