energy consumption

Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption EACL 2026 Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis AAAI 2026 Queue-Mem: Energy-Efficient Hardware Storage for Advanced Network Function Acceleration NSDI 2026 Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing CoRL 2025 Boost Embodied AI Models with Robust Compression Boundary IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025 Green Topics, Deep Roots: Energy-Aware Topic Modelling of Multilingual Nigerian Lyrics NeurIPS 2025 NeuroViG - Integrating Event Cameras for Resource-Efficient Video Grounding WACV 2025 QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers WACV 2025 Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning AAAI 2025 SpikF: Spiking Fourier Network for Efficient Long-term Prediction ICML 2025 The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference ICML 2025 TS-SNN: Temporal Shift Module for Spiking Neural Networks ICML 2025 TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer ICML 2025 Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases ACL 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices IJCAI 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024 Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic ICML 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 Environmental Impact Measurement in the MentalRiskES Evaluation Campaign COLING 2024 Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images ICLR 2024 Ranking-based Client Imitation Selection for Efficient Federated Learning ICML 2024 SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024 SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation NeurIPS 2024