Optimization & Theory

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models ACL 2025 Long-time asymptotics of noisy SVGD outside the population limit ICLR 2025 Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization EMNLP 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding NAACL 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 Low-Bit Quantization Favors Undertrained LLMs ACL 2025 LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones WACV 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 LSNet: See Large, Focus Small CVPR 2025 LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025 LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025 M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge AAAI 2025 MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025 MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference ACL 2025 Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning NAACL 2025 MambaOut: Do We Really Need Mamba for Vision? CVPR 2025 Mamba YOLO: A Simple Baseline for Object Detection with State Space Model AAAI 2025 Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion ICLR 2025