Efficient Computing

Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction WACV 2026 Hierarchical Dataset Selection for High-Quality Data Sharing AAAI 2026 HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026 HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract) AAAI 2026 HitKV: Activation Frequency Knows Which Tokens Are Important AAAI 2026 HotelQuEST: Balancing Quality and Efficiency in Agentic Search EACL 2026 How Good Are LLMs at Processing Tool Outputs? EACL 2026 How Quantization Shapes Bias in Large Language Models EACL 2026 How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026 How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG EACL 2026 HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models AAAI 2026 HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction AAAI 2026 Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026 Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging WACV 2026 InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026 In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking AAAI 2026 Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026 IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers WACV 2026 Is Bin Generation Indispensable? A Bin-Generation-Free Dataset Quantization via Semantic Perspective CVPR 2026 Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026 Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026 It’s All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models EACL 2026