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Found 2 papers, 2 papers with code
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain
Such decisions may be guided by different attributes that can be used to characterize an individual's decision.
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
Using Par3, we discover that expert literary translators prefer reference human translations over machine-translated paragraphs at a rate of 84%, while state-of-the-art automatic MT metrics do not correlate with those preferences.
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