Multi-Objective Optimization

Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models ACL 2026 CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation MIDL 2026 HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization SemEval 2026 MOA: Multi-Objective Alignment for Role-Playing Agents ACL 2026 MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis ACL 2026 SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 UniRain: Unified Image Deraining with RAG-based Dataset Distillation and Multi-objective Reweighted Optimization CVPR 2026 Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation ACL 2025 COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework UAI 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models NeurIPS 2024 MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents EMNLP 2022 Multi-objective Deep Data Generation with Correlated Property Control NeurIPS 2022 Learning the Pareto Front with Hypernetworks ICLR 2021