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When Transformers Need Chain of Thought
The article examines whether chains of thought do computational work in serial tasks; according to the post, removing them lowers accuracy to the shallow-circuit limit.
Published on October 1, 2026, the article examines whether chain-of-thought content performs computational work or is largely decorative. It focuses on the computational limits of reasoning in Transformers on serial tasks.
According to the post, removing chain of thought reduces accuracy on serial tasks to the shallow-circuit limit. To assess the conclusion, consult the original article and check how it defines the tasks, measures accuracy, and establishes that limit; the available summary does not provide those details.
Original source: Quando Transformers precisam de Chain of Thought em tarefas seriais