Papers by Shangzhan Li
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs (2023.findings-acl)
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| Challenge: | Existing frameworks for explanation graph generation are limited due to the large number of datasets available. |
| Approach: | They propose a text-to-graph generative task to pre-train a model to bridge the text-graph gap. |
| Outcome: | The proposed framework surpasses all baseline systems with remarkable margins on ExplaGraphs and CommonsenseQA. |