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
8s
Input Tokens
3209
Output Tokens
301
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 an entry every week. The journal entries provided span from 1995 to 2004 with significant gaps between entries - sometimes years apart. The author even acknowledges in the October 2002 entry that they hadn't written in the journal for ages and that life got in the way of regular journaling.