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Georgia Tech researchers developed a new neural framework to audit large language models for empathy and social reasoning. The team partnered with the Allen AI Institute to analyze the open-source model Olmo 3, which uses over a billion documents. Their findings, presented at the Conference on Language Modeling in San Francisco, suggest models learn better from dialogue than textbooks.
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