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
19s
Input Tokens
2764
Output Tokens
363
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 signs the journal entries as "M." — the full name is not given in the provided context.