TwistedHumor dataset shows dark humor in YouTube Shorts clusters around critique, coping, awkwardness and identity with more mixed and toxic audience reactions than regular humor.
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The survey organizes foundation models for sensor-based HAR into a lifecycle taxonomy and identifies three trajectories: HAR-specific models from scratch, adaptation of general time-series models, and integration with large language models.
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When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts
TwistedHumor dataset shows dark humor in YouTube Shorts clusters around critique, coping, awkwardness and identity with more mixed and toxic audience reactions than regular humor.
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Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
The survey organizes foundation models for sensor-based HAR into a lifecycle taxonomy and identifies three trajectories: HAR-specific models from scratch, adaptation of general time-series models, and integration with large language models.