SOTAVerified

Benchmarking

Papers

Showing 101125 of 5548 papers

TitleStatusHype
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+Code3
General Geospatial Inference with a Population Dynamics Foundation ModelCode3
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life PredictionCode3
Personalized Benchmarking with the Ludwig Benchmarking ToolkitCode3
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image AnalysisCode3
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real WebsitesCode3
HumanVid: Demystifying Training Data for Camera-controllable Human Image AnimationCode3
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisCode3
ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI SystemsCode3
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement LearningCode3
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Benchmarking Automatic Machine Learning FrameworksCode3
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to AdvancesCode3
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning AlgorithmsCode3
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual GenerationCode3
IFEval-Audio: Benchmarking Instruction-Following Capability in Audio-based Large Language ModelsCode3
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning BenchmarksCode3
A Survey on Performance Metrics for Object-Detection AlgorithmsCode3
RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkCode3
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision MakingCode3
AER: Auto-Encoder with Regression for Time Series Anomaly DetectionCode3
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language ModelsCode3
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsCode3
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based AgentsCode3
ACEGEN: Reinforcement learning of generative chemical agents for drug discoveryCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56Unverified