Optimization

Overcoming Black-box Attack Inefficiency with Hybrid and Dynamic Select Algorithms EMNLP 2025 Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions ICLR 2025 Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization ICML 2025 Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models EMNLP 2025 Overtuning in Hyperparameter Optimization AutoML 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning ACL 2025 Pacmann: Efficient Private Approximate Nearest Neighbor Search ICLR 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs ICML 2025 Palette of Language Models: A Solver for Controlled Text Generation NAACL 2025 Parallel Continuous Chain-of-Thought with Jacobi Iteration EMNLP 2025 Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models ICML 2025 Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning ACL 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization ICLR 2025 Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging ICML 2025 ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization ICLR 2025 Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration ICCV 2025 Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior ICLR 2025 PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution CVPR 2025 Patch-wise Structural Loss for Time Series Forecasting ICML 2025 Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints AAAI 2025