Optimization

MambaIC: State Space Models for High-Performance Learned Image Compression CVPR 2025 Mamba-ST: State Space Model for Efficient Style Transfer WACV 2025 Many-Objective Multi-Solution Transport ICLR 2025 MAP: Multi-Human-Value Alignment Palette ICLR 2025 Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding EMNLP 2025 Market Making without Regret COLT 2025 MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions ICLR 2025 MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers ICLR 2025 Mask in the Mirror: Implicit Sparsification ICLR 2025 Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs AAAI 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 MAST: model-agnostic sparsified training ICLR 2025 MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code ICLR 2025 MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025 Matrix-Free Shared Intrinsics Bundle Adjustment CVPR 2025 Matrix Product Sketching via Coordinated Sampling ICLR 2025 MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks ICLR 2025 Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory ICLR 2025 Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Maximum Score Routing For Mixture-of-Experts ACL 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search EMNLP 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025