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
24s
Input Tokens
3203
Output Tokens
140
Cost
$0.00
Context
Input
What is the name of the writer
Expected output
The name is not specified. We only know it starts with M.
Model output
The writer's name begins with 'M' - this is the only identifying information provided, as each journal entry is signed '— M.'