Tag: AI benchmarking
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SEA-Eval: Benchmark for Evaluating Self-Evolving AI Agents
Discover SEA-Eval, a benchmark designed to evaluate self-evolving AI agents beyond episodic tasks, focusing on long-term performance and reliability.
Evaluating MLLMs’ Mathematical Spatial Reasoning Skills
Discover how multimodal large language models struggle with mathematical spatial reasoning and the impact of the MathSpatial dataset on improving performan...
OmniTabBench: Large-Scale Benchmark for Tabular ML Models
Discover OmniTabBench, the largest benchmark with 3030 datasets evaluating GBDTs, neural networks, and foundation models for tabular data at scale.
Evaluating LLM Software Generation for CLI Tools
Discover how LLMs perform 0-to-1 software generation in CLI tool scenarios using CLI-Tool-Bench for comprehensive evaluation.
Efficient Continual Visual Anomaly Detection on Edge Devices
Discover efficient continual visual anomaly detection solutions for edge devices with our benchmark and Tiny-Dinomaly model for improved performance.