Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

The first Annual Report of SWEO is published! The 2024 Annual Report provides an update on the work and achievements of the office and highlights lessons learned from system-wide evaluation activities ...

UNHCR's Evaluation year in review covers the reporting period of the 2025 ExCom Report, from July 2024 to June 2025. In a period marked by financial challenges and budgetary cuts, evaluation was ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...

Background The diagnosis of interstitial lung disease (ILD) can pose a challenge as the pulmonary function test (PFT) is only minimally affected at the onset. To improve early diagnosis, this study ...

Background: Thyroid hormones (THs) are essential for brain development. Numerous studies have identified significant links between thyroid dysfunction and cognitive function. However, research on the ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.

Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through structured JSON object generation. However, current ...

Add a description, image, and links to the evaluation-function-boilerplate topic page so that developers can more easily learn about it.

Most language industry professionals would agree that machine translation (MT) has significantly improved, whether the quality is measured by BLEU, COMET or any other well-known parameters. But these ...