Efficient Computing

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025 Alignment for Efficient Tool Calling of Large Language Models EMNLP 2025 ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation NAACL 2025 A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025 All-directional Disparity Estimation for Real-world QPD Images CVPR 2025 All-in-One Image Compression and Restoration WACV 2025 Allowing Oscillation Quantization: Overcoming Solution Space Limitation in Low Bit-Width Quantization ICCV 2025 ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling ICML 2025 “AlphAI”: Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works AAAI 2025 A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models ICML 2025 Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference NAACL 2025 AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025 AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025 AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation CVPR 2025 A Multi-Task Supervised Compression Model for Split Computing WACV 2025 AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference ACL 2025 An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures ICML 2025 An Architecture Search Framework for Inference-Time Techniques ICML 2025 Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models EMNLP 2025 AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity EMNLP 2025 An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling ACL 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 An Efficient Hybrid Vision Transformer for TinyML Applications ICCV 2025 An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks ICML 2025 An Efficient Private GPT Never Autoregressively Decodes ICML 2025