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Artificial Intelligence › Core AI ›

Efficient Computing

716 papers

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Papers

SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection WACV 2026

High-Level Semantics and Low-Level Features Fusion for Multi-Scale Object Detection in Dynamic Construction Environments WACV 2026

PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026

DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026

DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge AAAI 2026

Grammar Search for Multi-Agent Systems ACL 2026

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning ACL 2026

CARES: Context-Aware Resolution Selector for VLMs ACL 2026

LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model ACL 2026

Can We Predict Before Executing Machine Learning Agents? ACL 2026

IMPACT: Importance-Aware Activation Space Reconstruction ACL 2026

Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods ACL 2026

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026

AgentOCR: Reimagining Agent History via Optical Self-Compression ACL 2026

OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs ACL 2026

UniSpec: Training-Free Speculative Decoding for Robust LLM Acceleration Across Languages and Hardware ACL 2026

Efficient Learned Data Compression via Dual-Stream Feature Decoupling ACL 2026

Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods ACL 2026

Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning ACL 2026

S2O: Early Stopping for Sparse Attention via Online Permutation ACL 2026

HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model Inference ACL 2026

EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models ACL 2026

Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026

InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling ACL 2026