Optimization

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025 Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025 Return Capping: Sample Efficient CVaR Policy Gradient Optimisation ICML 2025 Reverse Preference Optimization for Complex Instruction Following ACL 2025 Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion EMNLP 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness ICML 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning ICML 2025 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025 Revisiting Learning Rate Control AutoML 2025 Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis AISTATS 2025 Revisiting Mode Connectivity in Neural Networks with Bezier Surface ICLR 2025 Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis AISTATS 2025 Revisiting Projection-Free Online Learning with Time-Varying Constraints AAAI 2025 Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025 Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations ICLR 2025 Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation ICLR 2025 Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance NAACL 2025 Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization ICML 2025 REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space ACL 2025