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Optimization

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Papers

Unlocking ECMP Programmability for Precise Traffic Control NSDI 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study ICLR 2025 Unpaired Point Cloud Completion via Unbalanced Optimal Transport ICML 2025 Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention COLING 2025 Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025 Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration AAAI 2025 Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets NAACL 2025 Up to Par? MT Systems Take a Shot at Sports Terminology EMNLP 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025 Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing CVPR 2025 USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting CVPR 2025 Utilitarian Algorithm Configuration for Infinite Parameter Spaces ICLR 2025 Value-Based Deep RL Scales Predictably ICML 2025 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF ICLR 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models ICML 2025 Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations ICML 2025 Variational Inference on the Boolean Hypercube with the Quantum Entropy AISTATS 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning ACL 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization ICLR 2025 VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM EMNLP 2025