Efficient Computing

A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification ACL 2026 ACBQ: Adaptive Cross-Block Quantization of Large Language Models ACL 2026 Accelerating Autoregressive Video Diffusion via History-Guided Cache and Residual Correction CVPR 2026 Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep CVPR 2026 Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective CVPR 2026 Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU–GPU Hybrid Design OSDI 2026 AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks CVPR 2026 Adapting Lightweight Image-based Counting Models for Video Crowd Counting CVPR 2026 Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit? MIDL 2026 Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models ACL 2026 Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration CVPR 2026 Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference ACL 2026 Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization ACL 2026 Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models ACL 2026 ApET: Approximation-Error Guided Token Compression for Efficient VLMs CVPR 2026 ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs ACL 2026 Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training NSDI 2026 Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer CVPR 2026 A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling CVPR 2026 AVGGT: Rethinking Global Attention for Accelerating VGGT CVPR 2026 Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution CVPR 2026 Batch Loss Score for Dynamic Data Pruning CVPR 2026 Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models CVPR 2026 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 Block-based Learned Image Compression without Blocking Artifacts CVPR 2026