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Who cites «Better Rewards Yield Better Summaries: Learning to Summarise Without References»

56 papers of our library cite it (of the 141,840 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Better Rewards Yield Better Summaries: Learning to Summarise Without References»

  1. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,005 citations
    Re-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 258 citations
  2. Recursively Summarizing Books with Human FeedbackarXiv:2109.10862Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al.2021 · 204 citations
  3. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsarXiv:2304.05302Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
    MLSUM: The Multilingual Summarization CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 114 citations
  4. Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 77 citations

45 more papers of our library cite it; they have no page here yet.

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