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
10s
Input Tokens
3066
Output Tokens
322
Cost
$0.00
Context
Input
The author, makes an entry every week, true or false?
Expected output
False
Model output
False. The author does not make journal entries every week; the provided entries show long, irregular gaps between updates (e.g., years between some entries).