Optimization

LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation COLING 2025 LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently ICML 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail) ICML 2025 Loss Functions and Operators Generated by f-Divergences ICML 2025 Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering OSDI 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Low-Rank Interconnected Adaptation across Layers ACL 2025 LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models EMNLP 2025 LR²Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems ACL 2025 LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025 LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning EMNLP 2025 L-SWAG: Layer-Sample Wise Activation with Gradients Information for Zero-Shot NAS on Vision Transformers CVPR 2025 LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression NAACL 2025 LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing EMNLP 2025 Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy IJCAI 2025 Machine Unlearning Fails to Remove Data Poisoning Attacks ICLR 2025 MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models AAAI 2025 MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning EMNLP 2025 Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment ICLR 2025 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment ICML 2025 Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic ICML 2025 Making Serverless Pay-For-Use a Reality with Leopard NSDI 2025 MallowsPO: Fine-Tune Your LLM with Preference Dispersions ICLR 2025