Shaoyao Huang — accepted AI-conference papers

2024

Contrastive Learning with High-Quality and Low-Quality Augmented Data for Query-Focused Summarization

Shaoyao Huang, Ziqiang Cao, Luozheng Qin, Jun Gao, Jun Zhang

ICASSP 2024accepted

Unlike general text summarization, Query-focused summarization (QFS) is severely limited by insufficient datasets, forcing previous research to transform datasets from other tasks into QFS format for data augmentation. However, this approach has resulted in two problems: the task and traintest gaps.…

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2023

Diffusion Language Model with Query-Document Relevance for Query-Focused Summarization

Shaoyao Huang, Luozheng Qin, Ziqiang Cao

EMNLP 2023long findings

Query-Focused Summarization (QFS) aims to generate summaries from source documents that can answer specific queries. Although the QFS task has gained increasing attention recently, its development is constrained by the fact that mainstream QFS models are BART variants, which are autoregressive and…

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