Efficient Computing

Teaching the Old Dog New Tricks: Building Efficient Data Pipelines for Large-Scale LLM Pre-Training (Operational Systems) OSDI 2026 Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous MoE Training (Operational Systems) OSDI 2026 Test-time Sparsity for Extreme Fast Action Diffusion CVPR 2026 Theory-optimal Quantization Based on Flatness ACL 2026 ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference CVPR 2026 TileLoom: Automatic Dataflow Planning for Tile-Based Languages on Spatial Dataflow Accelerators OSDI 2026 TimeRipples: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space CVPR 2026 Toward Low-Cost yet Effective Temporal Learning for UAV Tracking CVPR 2026 Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers CVPR 2026 Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers CVPR 2026 UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution CVPR 2026 Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats ACL 2026 Variation-aware Vision Token Dropping for Faster Large Vision-Language Models CVPR 2026 VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation CVPR 2026 VecAttention: Vector-wise Sparse Attention for Accelerating Long Context Inference CVPR 2026 VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization ACL 2026 Vista-LLM: Decoupled Query-Guided Visual Token Pruning for Efficient Long-Video Large Language Models ACL 2026 ViT$^3$: Unlocking Test-Time Training in Vision CVPR 2026 VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination OSDI 2026 VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping CVPR 2026 What Matters in Practical Learned Image Compression CVPR 2026 When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models ACL 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal CVPR 2026 Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning ACL 2026