Optimization & Theory

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025 Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect AAAI 2025 A Method for Enhancing Generalization of Adam by Multiple Integrations AAAI 2025 A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality EMNLP 2025 A Mirror Descent Perspective of Smoothed Sign Descent UAI 2025 AMO Sampler: Enhancing Text Rendering with Overshooting CVPR 2025 AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025 AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025 Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods ICLR 2025 AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 An Analysis of Datasets, Metrics and Models in Keyphrase Generation ACL 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4 ACL 2025 A New Perspective on Shampoo's Preconditioner ICLR 2025 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction From Monocular Video CVPR 2025 An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025 An Investigative Study on Recent Sharpness- and Flatness-Based Optimizers for Enhanced Self-Supervised Speaker Verification Interspeech 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025