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 141–150 of 4891 papers

TitleStatusHype
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
Pruning Everything, Everywhere, All at OnceCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified