Optimization

Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026 Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026 Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026 Incremental Maintenance of DatalogMTL Materialisations AAAI 2026 Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models AAAI 2026 Inference-time Scaling for Diffusion-based Audio Super-resolution AAAI 2026 Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization AAAI 2026 InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck AAAI 2026 InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference AAAI 2026 InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026 Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026 Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026 Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration AAAI 2026 Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation AAAI 2026 Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets AAAI 2026 InterMoE: Individual-Specific 3D Human Interaction Generation via Dynamic Temporal-Selective MoE AAAI 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization AAAI 2026 IRPO: Implicit Policy Regularized Preference Optimization EACL 2026 Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs EACL 2026 JOCA: Task-Driven Joint Optimisation of Camera Hardware and Adaptive Camera Control Algorithms WACV 2026 Joint Multimodal Preference Optimization for Fine-Grained Visual-Textual Alignment EACL 2026 Joint Optimization of Camera Model and Deep Neural Network for Image Recognition WACV 2026 Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search AAAI 2026