Papers with feature attribution method
PR-XAI: PageRank-Based Feature Attribution for Transformers (2026.acl-long)
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| Challenge: | Existing feature attribution methods for transformer models suffer from limitations that undermine their efficacy. |
| Approach: | They propose a feature attribution method for transformer models based on PageRank . they propose attribution methods that apply PageRank to attention-derived graphs . |
| Outcome: | The proposed method outperforms state-of-the-art methods in faithfulness and classification metrics with significant gains on long-form text. |
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection (2022.naacl-main)
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| Challenge: | XAI features usually provide a single importance score for each token, but feature attribution methods provide two complementary and theoretically-grounded scores for each utterance. |
| Approach: | They propose a feature attribution method that generates explicit perturbations of the input text, allowing the importance scores themselves to be explainable. |
| Outcome: | The proposed method explain the predictions of hate speech detection models on a set of curated examples from a test suite. |
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow (2025.acl-long)
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| Challenge: | Existing approaches to feature attributions rely on attention weights and attention weightings. |
| Approach: | They propose a feature attribution method that replaces attention weights with the generalized Information Tensor to enhance the performance of Transformer-based models. |
| Outcome: | The proposed method outperforms state-of-the-art feature attribution methods on sequence classification tasks and provides a more reliable interpretation of Transformer model outputs. |