LLM explanations create a persuasion paradox by increasing confidence without accuracy gains in visual tasks while aiding logical tasks, with uncertainty displays and selective automation outperforming explanations in some cases.
In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition(2019), pp
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The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance
LLM explanations create a persuasion paradox by increasing confidence without accuracy gains in visual tasks while aiding logical tasks, with uncertainty displays and selective automation outperforming explanations in some cases.