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
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
Large Language Model Guided Self-Debugging Code Generation—0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images—0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance—0
CARROT: A Cost Aware Rate Optimal Router—0
Reviving The Classics: Active Reward Modeling in Large Language Model AlignmentCode2
ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction—0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
Learning to generate physical ocean states: Towards hybrid climate modeling—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies—0
Orientation-aware interaction-based deep material network in polycrystalline materials modeling—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
Activation-Informed Merging of Large Language ModelsCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations—0
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users—0
A generative foundation model for an all-in-one seismic processing framework—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified