SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1311–1320 of 4891 papers

TitleStatusHype
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
QueEn: A Large Language Model for Quechua-English Translation—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting ApproachCode1
Uncertainty Quantification in Portfolio Temperature Alignment—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
Show:102550
← PrevPage 132 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified