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 921–930 of 4891 papers

TitleStatusHype
Pruning Everything, Everywhere, All at OnceCode0
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
Sparse Imagination for Efficient Visual World Model Planning—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens—0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies—0
Show:102550
← PrevPage 93 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified