Efficient Computing

StitchLLM: Serving LLMs, One Block at a Time ACL 2025 Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget CVPR 2025 SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation CVPR 2025 Surprising Effectiveness of pretraining Ternary Language Model at Scale ICLR 2025 SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion CVPR 2025 SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation EMNLP 2025 Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks AISTATS 2025 TableKV: KV Cache Compression for In-Context Table Processing ACL 2025 TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning ACL 2025 TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering ACL 2025 TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding ACL 2025 The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025 The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CVPR 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 Token Level Routing Inference System for Edge Devices ACL 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 Token Turing Machines are Efficient Vision Models WACV 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning MIDL 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories AAAI 2025