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 951–975 of 4891 papers

TitleStatusHype
LeMoRe: Learn More Details for Lightweight Semantic SegmentationCode0
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution PredictionCode0
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition—0
NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding—0
Improving Out-of-Distribution Detection with Markov Logic Networks—0
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs—0
THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation—0
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
Visual Loop Closure Detection Through Deep Graph Consensus—0
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Route to Reason: Adaptive Routing for LLM and Reasoning Strategy SelectionCode0
Research on feature fusion and multimodal patent text based on graph attention network—0
Learning Optimal Multimodal Information Bottleneck Representations—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Long-Context State-Space Video World Models—0
Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting—0
Efficient Optimization Accelerator Framework for Multistate Ising Problems—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified