Optimization

s1: Simple test-time scaling EMNLP 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 Scale Efficient Training for Large Datasets CVPR 2025 Score-Based Training for Energy-Based TTS Models Interspeech 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 Select-then-Route : Taxonomy guided Routing for LLMs EMNLP 2025 Semantic Masking in a Needle-in-a-haystack Test for Evaluating Large Language Model Long-Text Capabilities COLING 2025 Semi-Implicit Neural Ordinary Differential Equations AAAI 2025 SET: Spectral Enhancement for Tiny Object Detection CVPR 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training ICLR 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 Simple ReFlow: Improved Techniques for Fast Flow Models ICLR 2025 Simplifying, Stabilizing and Scaling Continuous-time Consistency Models ICLR 2025 Single layer tiny Co4 outpaces GPT-2 and GPT-BERT EMNLP 2025 Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025 Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025 SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling ICLR 2025 Speculative Sampling via Exponential Races ACL 2025 Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance EMNLP 2025 SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks AAAI 2025 SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ACL 2025 Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025 Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models EMNLP 2025