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.

Duration

32s

Input Tokens

8264

Output Tokens

190

Cost

$0.00

Context

Input

Which patient had to be accepted in the hospital?

Expected output

Melisa Farrow

Model output

Oscar Jansson should be admitted to the hospital due to his symptoms of breathing issues, tightness in the chest, occasional cough, and slight fever. His history and physical exam suggest possible mild persistent asthma or long-term effects of past smoking. The slight increase in his FEV1 after the use of a bronchodilator further supports this suspicion. It is recommended to order full Pulmonary Function Tests and other tests to confirm the diagnosis.