Optimization & Theory

Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025 Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework ICLR 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 Principles of Visual Tokens for Efficient Video Understanding ICCV 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025 Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025 ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ACL 2025 ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025 Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference AAAI 2025 PROMTEC: Fast LLM Inference Decoding using Prompt Multi-Lookup with Template Database and Common Sequences ACL 2025 Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble ICML 2025 ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025 Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 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 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer ACML 2025 Pun Unintended: LLMs and the Illusion of Humor Understanding EMNLP 2025 PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025 PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking CVPR 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025 Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs CVPR 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025