Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

100
Duration
26s
Input Tokens
7756
Output Tokens
248
Cost
$0.00
Context
Input
Which patient had to be accepted in the hospital?
Expected output
Melisa Farrow
Model output
Melisa Farrow had to be accepted in the hospital. She was admitted to Danderyds Sjukhus (Internal Medicine Ward) on May 20, 2025, for treatment of community-acquired pneumonia with left lower lobe involvement and pleuritic chest pain. She required IV antibiotics, oxygen support, and monitoring during her hospital stay before being discharged on May 23, 2025.