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LLMs are significantly more likely to spread misinformation about countries with lower Human Development Index and in lower-resource languages, revealing a concerning bias in their outputs.
Instruction-tuned MLLMs, despite excelling in zero-shot scenarios, surprisingly fail to leverage few-shot examples or chain-of-thought prompting, suggesting a fundamental limitation in their ability to learn from demonstrations.
