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Tool-augmented LLMs follow incorrect tool outputs 78.4-86.0% of the time, raising critical questions about their reliability in conflict resolution scenarios.
LLMs exhibit a stark performance disparity in mathematical reasoning, with underrepresented languages lagging significantly behind their high-resource counterparts.
