no code implementations • EMNLP 2021 • Ruifeng Yuan, Zili Wang, Wenjie Li
Sentence fusion is a conditional generation task that merges several related sentences into a coherent one, which can be deemed as a summary sentence.
1 code implementation • 9 Jan 2024 • Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, PengFei Liu
In this paper, we pioneer the critique of critique, termed MetaCritique, which is a framework to evaluate the critique from two aspects, i. e., factuality as precision score and comprehensiveness as recall score.
no code implementations • 22 Dec 2023 • Ruifeng Yuan, Shichao Sun, Zili Wang, Ziqiang Cao, Wenjie Li
It focuses on preserving the knowledge and experience from the history dialogue between the user and AI assistant, which can be applied to future dialogue for generating a better response.
1 code implementation • 24 May 2023 • Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao
Therefore, we propose a method called RefGPT to generate enormous truthful and customized dialogues without worrying about factual errors caused by the model hallucination.
1 code implementation • 24 Feb 2023 • Shichao Sun, Ruifeng Yuan, Wenjie Li, Sujian Li
Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data.
no code implementations • 29 Nov 2022 • Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li
Drawn inspiration from prefix-tuning, we are allowed to integrate the task knowledge from text summarization and question answering into a properly designed prefix and apply the merged prefix to query-focused summarization.
1 code implementation • COLING 2020 • Ruifeng Yuan, Zili Wang, Wenjie Li
We also introduce a hierarchical structure, which incorporates the multi-level of granularities of the textual information into the model.