Multiple-Debias reduces gender, racial, and religious biases in multilingual pre-trained language models more effectively than monolingual methods by integrating counterfactual augmentation and self-debiasing across pre- and post-processing stages in four languages.
The power of scale for parameter-efficient prompt tuning
2 Pith papers cite this work. Polarity classification is still indexing.
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DuSE is a new dual-stream model for dynamic facial expression recognition that explicitly models cognitive priming and conceptual knowledge integration to reach state-of-the-art accuracy on in-the-wild benchmarks.
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Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling
DuSE is a new dual-stream model for dynamic facial expression recognition that explicitly models cognitive priming and conceptual knowledge integration to reach state-of-the-art accuracy on in-the-wild benchmarks.