Papers by Shaoyao Huang
Diffusion Language Model with Query-Document Relevance for Query-Focused Summarization (2023.findings-emnlp)
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| Challenge: | Query-Focused Summarization (QFS) aims to generate summaries that address specific queries by extracting crucial information from source documents. |
| Approach: | They propose a non-autoregressive diffusion language model that incorporates query-document fragment relevance and query-doctoral global relevance to enhance the adaptability of QFS tasks. |
| Outcome: | The proposed model achieves state-of-the-art performance on Debatepedia and PubMedQA datasets in ROUGE scores, GPT-4, and human evaluations. |