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
5s
Input Tokens
3225
Output Tokens
542
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 of the journal entries signs all passages with the initial 'M.' The full name is not provided in the context.