Optimization

Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models ACL 2025 Knowledge Distillation for Language Models NAACL 2025 Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025 Knowledge-Guided Wasserstein Distributionally Robust Optimization ICML 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models AAAI 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 KRR: Efficient and Scalable Kernel Record Replay OSDI 2025 KurTail : Kurtosis-based LLM Quantization EMNLP 2025 KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding ACL 2025 L3Ms — Lagrange Large Language Models ICLR 2025 Label Augmented Dataset Distillation WACV 2025 Laboring on less labors: RPCA Paradigm for Pan-sharpening ICCV 2025 LaCoOT: Layer Collapse through Optimal Transport ICCV 2025 Ladder: A Convergence-based Structured DAG Blockchain for High Throughput and Low Latency NSDI 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025 LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace ICLR 2025 Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Language models scale reliably with over-training and on downstream tasks ICLR 2025 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025 Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups ICML 2025 Large Continual Instruction Assistant ICML 2025 Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems ICML 2025 Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025