Optimization

Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data IJCNLP 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs ICML 2025 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025 Curriculum Direct Preference Optimization for Diffusion and Consistency Models CVPR 2025 Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing ICML 2025 Cut Your Losses in Large-Vocabulary Language Models ICLR 2025 CViT: Continuous Vision Transformer for Operator Learning ICLR 2025 Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models SemEval 2025 D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation IJCAI 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching COLT 2025 Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns ALT 2025 Data Distillation for extrapolative protein design through exact preference optimization ICLR 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA SemEval 2025