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
9s
Input Tokens
3300
Output Tokens
364
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 span from 1995 to 2004 with significant gaps between them (sometimes years apart). In the October 3, 2002 entry, the author explicitly mentions: 'It's been ages since I last opened this journal' and 'I haven't written in here much these past years,' confirming that entries are made irregularly, not on a weekly basis.