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Benchmarking

Papers

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Showing 1501–1525 of 5548 papers

TitleStatusHype
Benchmarking GPUs on SVBRDF Extractor Model—0
Benchmarking GPU and TPU Performance with Graph Neural Networks—0
CubeSat-Enabled Free-Space Optics: Joint Data Communication and Fine Beam Tracking—0
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies—0
Approaches for benchmarking single-cell gene regulatory network inference methods—0
Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models—0
Benchmarking GNNs Using Lightning Network Data—0
Benchmarking global optimization techniques for unmanned aerial vehicle path planning—0
Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data—0
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts—0
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning—0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)—0
Application of Machine Learning for Online Reputation Systems—0
Benchmarking General-Purpose In-Context Learning—0
Application of DEA in International Market Selection for the export of products from Spain—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding—0
Application Inference using Machine Learning based Side Channel Analysis—0
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech—0
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design—0
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified