memory efficiency

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration ACL 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding CVPR 2025 EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices ACL 2025 Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025 Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments EMNLP 2025 ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting WACV 2025 Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures ICLR 2025 EvolKV: Evolutionary KV Cache Compression for LLM Inference EMNLP 2025 Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints CVPR 2025 Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL 2025 Gated Delta Networks: Improving Mamba2 with Delta Rule ICLR 2025 Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025 Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference EMNLP 2025 LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics ICLR 2025 Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025 Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in Large Vision-Language Model CVPR 2025 LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture EMNLP 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 2025 Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025 Memory-Efficient Generative Models via Product Quantization ICCV 2025