1 citations · 1 across the 5 of their papers we have counts for
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RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
Dongjie Yang, Ruifeng Yuan, Yuantao Fan +4
Large Language Models (LLMs) have attained the impressive capability to resolve a wide range of NLP tasks by fine-tuning high-quality instruction data. However, collecting human-wr…
Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
Shichao Sun, Ruifeng Yuan, Wenjie Li +1
Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data. Recent literatures mostly research how to leverage sent…
Few-shot Query-Focused Summarization with Prefix-Merging
Ruifeng Yuan, Zili Wang, Ziqiang Cao +1
Query-focused summarization has been considered as an important extension for text summarization. It aims to generate a concise highlight for a given query. Different from text sum…
Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT
Ruifeng Yuan, Zili Wang, Wenjie Li
Most current extractive summarization models generate summaries by selecting salient sentences. However, one of the problems with sentence-level extractive summarization is that th…