Optimization

Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025 Progressive Correspondence Regenerator for Robust 3D Registration CVPR 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces ICCV 2025 Progress or Regress? Self-Improvement Reversal in Post-training ICLR 2025 Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF ICML 2025 PROM: Pivoted and Regulated Optimization for Multilingual Instruction Learning NAACL 2025 Proper losses regret at least 1/2-order JMLR 2025 Proportionally Fair Matching via Randomized Rounding AAAI 2025 ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025 ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025 Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent ICML 2025 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization COLT 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Provable Maximum Entropy Manifold Exploration via Diffusion Models ICML 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition ICML 2025 Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning ICLR 2025 Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging CVPR 2025 PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025 Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction ICML 2025