Qrange-group/CEM
EMNLP'22, CEM improves MHCH performance by correcting prediction bias and training an auxiliary cost simulator based on user state and labor cost causal graph, without requiring complex model crafting.
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Language
Python
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MIT
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Last pushed
Oct 09, 2022
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