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The Chinese University of Hong Kong, Shenzhen Research Institute of Big Data
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Feedback-blind retrieval in Transformers can lead to suboptimal decisions, but the Utility-Augmented Transformer redefines context retrieval by integrating feedback, achieving superior performance in noisy environments.