Papers by Liam van der Poel
Mutual Information Alleviates Hallucinations in Abstractive Summarization (2022.emnlp-main)
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| Challenge: | Abstractive summarization models exhibit the tendency to hallucinate, i.e., output content not supported by the source document. |
| Approach: | They propose a decoding strategy that optimizes for pointwise mutual information of source and target tokens when models exhibit uncertainty. |
| Outcome: | The proposed method decreases the probability of hallucinated tokens while maintaining the Rouge and BERT-S scores of top-performing decoding strategies. |