Benchmark
Web agents powered by large language and vision-language models are increasingly applied to realistic browser work that spans …
We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended deep research tasks in enterprise settings. Unlike …
While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they fall short in addressing the unique …
Understanding diverse web data and automating web development presents an exciting challenge for agentic AI. While existing benchmarks …
Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many …
Understanding diverse web data and automating web development presents an exciting challenge for agentic AI. While existing benchmarks …
Text embeddings are typically evaluated on a narrow set of tasks, limited in terms of languages, domains, and task types. To circumvent …
This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to …
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …