SOTAVerified

Benchmarking

Papers

Showing 27762800 of 5548 papers

TitleStatusHype
CloudEval-YAML: A Practical Benchmark for Cloud Configuration GenerationCode1
MultiIoT: Benchmarking Machine Learning for the Internet of ThingsCode1
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification0
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMsCode1
An efficiency analysis of Spanish airports0
The voraus-AD Dataset for Anomaly Detection in Robot ApplicationsCode1
Prompt Sketching for Large Language Models0
The PetShop Dataset -- Finding Causes of Performance Issues across MicroservicesCode1
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR PredictionCode0
Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture TranscriptsCode1
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State DecodingCode1
Benchmarking Deep Facial Expression Recognition: An Extensive Protocol with Balanced Dataset in the Wild0
Benchmarking Differential Evolution on a Quantum Simulator0
Exploitation-Guided Exploration for Semantic Embodied Navigation0
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical CyclonesCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
Benchmarking a Benchmark: How Reliable is MS-COCO?0
Learning Disentangled Speech Representations0
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning ApplicationsCode1
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for LocomotionCode3
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven InterpretationCode1
Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics0
Investigating Deep-Learning NLP for Automating the Extraction of Oncology Efficacy Endpoints from Scientific Literature0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56Unverified