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The University of Tokyo, Shanda AI Research Tokyo
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MLLMs get personality right half the time for the wrong reasons, revealing a massive "Prejudice Gap" where models fail to ground their judgments in observable behavior.
Retrieval models, even large ones, struggle under realistic acoustic noise, as revealed by the new SQuTR benchmark.
