Papers by Layla El Asri
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation (2022.findings-acl)
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| Challenge: | Current language generation models suffer from issues such as repetition, incoherence, and hallucinations . |
| Approach: | They propose to analyze exposure bias from an imitation learning perspective and prove it is a problem . they show that exposure bias leads to an accumulation of errors during generation . |
| Outcome: | The proposed model fails to capture errors during generation and poor generation quality. |
Diverse Keyphrase Generation with Neural Unlikelihood Training (2020.coling-main)
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| Challenge: | Recent advances in neural natural language generation have made possible remarkable progress on the task of keyphrase generation, however, the importance of diversity in keyphrases has been largely ignored. |
| Approach: | They propose to train a sequence-to-sequence keyphrase generation model from the perspective of diversity. |
| Outcome: | The proposed model achieves large diversity gains while maintaining competitive output quality. |