Papers by Zhangdie Yuan
Varifocal Question Generation for Fact-checking (2022.emnlp-main)
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| Challenge: | Recent question generation approaches assume that the answer is known . however, such passages are what is being sought when verifying a claim. |
| Approach: | They propose a method that generates questions based on different focal points within a claim . they demonstrate that the method generates more relevant and informative questions . |
| Outcome: | The proposed method outperforms previous work on a fact-checking question generation dataset on measurable evaluation metrics. |
Can Pretrained Language Models (Yet) Reason Deductively? (2023.eacl-main)
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| Challenge: | Acquiring factual knowledge with Pretrained Language Models (PLMs) has attracted increasing attention, showing promising performance in many knowledge-intensive tasks. |
| Approach: | They conduct a comprehensive evaluation of the learnable deductive reasoning capability of pretrained language models and compare their performance against simple adversarial surface form edits. |
| Outcome: | The models are able to generalise learned logic rules and perform inconsistently against simple adversarial surface form edits, but catastrophically forget the previously learnt knowledge. |