Elamur Research⌕
☰
home / papers / Towards Question-Answering as an Automatic Metric… / cited by

Who cites «Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary»

73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← the paper

  1. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 971 citations
  2. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
  3. TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
  4. Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and SelectionSihao Chen, Fan Zhang, Kazoo Sone, et al.2021 · 149 citations
  5. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 116 citations
  6. A Statistical Analysis of Summarization Evaluation Metrics Using Resampling MethodsDaniel Deutsch, Rotem Dror, Dan Roth2021 · 115 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/deutsch-2021-question-answering-as-automatic-metric/cited-by/