Optimization

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation AAAI 2026 Differentiable Causal Search CLeaR 2026 Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026 Diffusion Language Model Inference with Monte Carlo Tree Search EACL 2026 DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks AAAI 2026 Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026 Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning AAAI 2026 Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026 Distill and Align Decomposition for Enhanced Claim Verification EACL 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference AAAI 2026 Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026 DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis AAAI 2026 DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations AAAI 2026 DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs AAAI 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026 DPBridge: Latent Diffusion Bridge for Dense Prediction WACV 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026 DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs AAAI 2026 DRAGOn: Designing RAG On Periodically Updated Corpus EACL 2026 DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026 DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions AAAI 2026 DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026 Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models AAAI 2026