Model Compression

Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025 RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025 R-BPE: Improving BPE-Tokenizers with Token Reuse EMNLP 2025 Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation EMNLP 2025 Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation EMNLP 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025 Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models COLING 2025 Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025 Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025 RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025 Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025 RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025 RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025 RSSN at Multilingual Counterspeech Generation: Leveraging Lightweight Transformers for Efficient and Context-Aware Counter-Narrative Generation COLING 2025 Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025 SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models ACL 2025 Safety Alignment via Constrained Knowledge Unlearning ACL 2025 Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control ICCV 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models EMNLP 2025 SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal AAAI 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression AAAI 2025 Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation ICCV 2025