conftrace_

multi-objective optimization

364 papers

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Also known as

MOOP MO MOO

Co-occurring keywords

evolutionary algorithm (264) pareto front (63) bayesian optimization (624) pareto optimization (78) pareto optimal (58) reinforcement learning (4352) large language model (13587) runtime analysis (41) pareto optimality (78) multi-task learning (2575)

Papers

Boundary Decomposition for Nadir Objective Vector Estimation NIPS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 2024
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024
Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception COLING 2024
FedLF: Layer-Wise Fair Federated Learning AAAI 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NIPS 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
Multi-Objective Linguistic Control of Large Language Models ACL 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions JMLR 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ACL 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Theoretical Study on Multi-objective Heuristic Search IJCAI 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts NIPS 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NIPS 2024
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization IJCAI 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NIPS 2024