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Peking University
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Task-evoked brain signals can boost LLM reasoning accuracy by up to 13%, revealing a powerful new avenue for cognitive alignment in AI.
Even the best LLMs struggle with Olympiad-level combinatorics, achieving only 65.4% on a benchmark designed to expose their reasoning limitations.
The myth of a universally superior model for tabular data is busted by a massive 3030-dataset benchmark, revealing nuanced performance dependencies on dataset characteristics.
