Optimization

Quantum-PEFT: Ultra parameter-efficient fine-tuning ICLR 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025 Query Quantized Neural SLAM AAAI 2025 QuEST: Stable Training of LLMs with 1-Bit Weights and Activations ICML 2025 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization ICCV 2025 QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts ICML 2025 Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025 Radio: Rate–Distortion Optimization for Large Language Model Compression ICML 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization ICLR 2025 RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025 Rajomon: Decentralized and Coordinated Overload Control for Latency-Sensitive Microservices NSDI 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 Random Feature Representation Boosting ICML 2025 Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures ICML 2025 Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity ICML 2025 Rank-One Modified Value Iteration ICML 2025 RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models NAACL 2025 Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025 Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization ICML 2025 RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models ICLR 2025 RaSA: Rank-Sharing Low-Rank Adaptation ICLR 2025