Papers by Weihe Zhai
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering (2024.emnlp-main)
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| Challenge: | Current methods for generating faithful explanations overlook path decoding faithfulness, leading to divergence between graph encoder outputs and model predictions. |
| Approach: | They propose an algorithm to assess KG representation reliability and an LM-KG distribution-aware Alignment algorithm to improve explanation faithfulness without ground truth. |
| Outcome: | The proposed algorithm improves explanation faithfulness without ground truth and significantly improves fidelity and model performance. |