Efficient Computing

A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction ACL 2026 A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification ACL 2026 A Bit is All You Need! Efficient Video Capture via Single Bit Imaging CVPR 2026 Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling 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 AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation CVPR 2026 AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters ACL 2026 ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping OSDI 2026 AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse ACL 2026 Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning CVPR 2026 Ada-RS: Adaptive Rejection Sampling for Selective Thinking ACL 2026 AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding CVPR 2026 AgentOCR: Reimagining Agent History via Optical Self-Compression ACL 2026 AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems ACL 2026 Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026 APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026 ArcLight: A Lightweight LLM Inference Architecture for Many-Core CPUs ACL 2026 Are Large Language Models Economically Viable for Industry Deployment? ACL 2026 Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods ACL 2026 Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding CVPR 2026 Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models ACL 2026 Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs ACL 2026 BatchGen: An Architecture for Scalable and Efficient Batch Inference OSDI 2026 Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats ACL 2026