Efficient Computing

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation ICML 2025 Token Turing Machines are Efficient Vision Models WACV 2025 Too Helpful, Too Harmless, Too Honest or Just Right? EMNLP 2025 Tooth: Toward Optimal Balance of Video QoE and Redundancy Cost by Fine-Grained FEC in Cloud Gaming Streaming NSDI 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025 TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration WACV 2025 Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation ACL 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection AAAI 2025 Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss NAACL 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework AAAI 2025 Towards Energy Efficient 5G vRAN Servers NSDI 2025 Towards High-Fidelity Head Blending with Chroma Keying for Industrial Applications WACV 2025 Towards Lossless Implicit Neural Representation via Bit Plane Decomposition CVPR 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 Towards More Efficient Post-training via Fourier Domain Adapter Framework EMNLP 2025 Towards Optimal Multi-draft Speculative Decoding ICLR 2025 Towards Practical Real-Time Neural Video Compression CVPR 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models NAACL 2025 Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025 Towards Unified, Dynamic and Annotation-based Visualisations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer NAACL 2025