Public articles linked to the same research event.
arXiv This work represents dense health narratives as tuples linking atomic claims with thematic aspects, stance, and a six-dimensional pragmatic profile, builds a benchmark of 1,191 manually annotated claims from 60 videos across GLP-1 weight-loss medications, testosterone replacement therapy, collagen supplementation, and intermittent fasting, and evaluates large language models on structured discourse prediction under different discourse context settings.
This work represents dense health narratives as tuples linking atomic claims with thematic aspects, stance, and a six-dimensional pragmatic profile, builds a benchmark of 1,191 manually annotated claims from 60 videos across GLP-1 weight-loss medications, testosterone replacement therapy, collagen supplementation, and intermittent fasting, and evaluates large language models on structured discourse prediction under different discourse context settings.
This work represents dense health narratives as tuples linking atomic claims with thematic aspects, stance, and a six-dimensional pragmatic profile, builds a benchmark of 1,191 manually annotated claims from 60 videos across GLP-1 weight-loss medications, testosterone replacement therapy, collagen supplementation, and intermittent fasting, and evaluates large language models on structured discourse prediction under different discourse context settings.
This work represents dense health narratives as tuples linking atomic claims with thematic aspects, stance, and a six-dimensional pragmatic profile, builds a benchmark of 1,191 manually annotated claims from 60 videos across GLP-1 weight-loss medications, testosterone replacement therapy, collagen supplementation, and intermittent fasting, and evaluates large language models on structured discourse prediction under different discourse context settings.