A study investigates whether chain of thought contributes computation in Transformers. According to the article, removing it lowers accuracy on serial tasks to the limit associated with shallow circuits.
The article investigates whether chain of thought—the model’s expressed intermediate reasoning steps—does computational work or is largely decorative. The question matters for understanding the reasoning limits of Transformers.
According to the text, removing this chain reduces accuracy on serial tasks to the limit of shallow circuits. The summary does not specify which tasks were tested or describe the method or figures, so it does not establish the result’s strength or scope.
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