Optimization

Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection EACL 2026 Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget AAAI 2026 Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026 Optimizing Urban Service Allocation with Time-Constrained Restless Bandits AAAI 2026 OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026 OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization AAAI 2026 OptScale: Probabilistic Optimality for Inference-time Scaling AAAI 2026 Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking AAAI 2026 OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026 ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation AAAI 2026 Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential COLT 2026 Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering AAAI 2026 ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models AAAI 2026 Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026 Parallel Training Time-to-First-Spike Spiking Neural Networks AAAI 2026 Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026 Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026 Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization AAAI 2026 ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data AAAI 2026 PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis AAAI 2026 PC-Flow: Preference Alignment in Flow Matching via Classifier AAAI 2026