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

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Showing 961–970 of 4891 papers

TitleStatusHype
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies—0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
Orientation-aware interaction-based deep material network in polycrystalline materials modeling—0
Activation-Informed Merging of Large Language ModelsCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified