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Found 2 papers, 1 papers with code
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
We address the critical challenge of applying feature attribution methods to the transformer architecture, which dominates current applications in natural language processing and beyond.
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
We investigate outlier dimensions and their relationship to anisotropy in multiple pre-trained multilingual language models.
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