Unverified50% confidenceFactExact time
The Typed Decisions benchmark only includes base models (models not supervised fine-tuned for a specific downstream task), and does not include models that separately declare task-specific supervised fine-tuning.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
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Related Claims
VerifiedThe prompts submitted to the models did not include question-type hints, requiring the models to determine the question type on their own.76% similarUnverifiedDecision models reframe tasks as classification or scoring problems, directly producing structured results without generating descriptive text75% similarUnverifiedPrompting provides instructions and examples at inference time, has the lowest cost and fastest iteration, and is suitable for solving problems such as expression style, format constraints, and task boundary specification, but it does not change model weights, so it cannot introduce private knowledge the model does not know, nor can it guarantee real-time capability.74% similarUnverifiedIn decision-type tasks, the model's output is the selection of a label or branch from a predefined finite set, rather than free text.73% similarUnverifiedSub-agents independently select models based on their own assessment of subtask complexity rather than inheriting the model setting of the main session, which causes multiple models that the user never manually selected to appear in usage reports.73% similar
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