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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026

Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study AAAI 2026

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows AAAI 2026

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture AAAI 2026

CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices AAAI 2026

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study AAAI 2026

Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis AAAI 2026

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening AAAI 2026

EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding AAAI 2026

Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning AAAI 2026

Prune4Web: DOM Tree Pruning Programming for Web Agent AAAI 2026

Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off AAAI 2026

Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding AAAI 2026

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache AAAI 2026

Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model AAAI 2026

Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios AAAI 2026

qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs AAAI 2026

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction AAAI 2026

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation AAAI 2026

KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference AAAI 2026

Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents AAAI 2026

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection AAAI 2026

AutoTool: Efficient Tool Selection for Large Language Model Agents AAAI 2026

Model Whisper: Steering Vectors Unlock Large Language Models’ Potential in Test-Time AAAI 2026

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026