Optimization

Energy Considerations of Large Language Model Inference and Efficiency Optimizations ACL 2025 Energy-Weighted Flow Matching for Offline Reinforcement Learning ICLR 2025 Enforcing Idempotency in Neural Networks ICML 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization AISTATS 2025 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025 Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling ICCV 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025 Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss ICML 2025 Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization AAAI 2025 Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs EMNLP 2025 Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2025 Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization ACL 2025 Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism COLING 2025 Enhancing Parallelism in Decentralized Stochastic Convex Optimization ICML 2025 Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning IJCAI 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025 Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models ICML 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 Enhancing Transformers for Generalizable First-Order Logical Entailment ACL 2025 Enhancing Transformers Through Conditioned Embedded Tokens ICCV 2025 Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025