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Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
The research community often relies on a model's average performance across the test prompts of a benchmark to evaluate the model's performance.
Content Filtering with Inattentive Information Consumers
We develop a model of content filtering as a game between the filter and the content consumer, where the latter incurs information costs for examining the content.
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