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 211–220 of 4891 papers

TitleStatusHype
Route to Reason: Adaptive Routing for LLM and Reasoning Strategy SelectionCode0
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
Faithful Group Shapley ValueCode0
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning—0
PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises—0
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
PATS: Process-Level Adaptive Thinking Mode SwitchingCode1
FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization—0
Show:102550
← PrevPage 22 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified