🔗 Who cites «Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors»

79 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors»

1. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
2. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
3. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 116 citations
4. On Learning to Summarize with Large Language Models as ReferencesYixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
5. HotelCheckSpan: A Benchmark Dataset for LLM FaithfulnessPatricia Schmidtova, Ondrej Dusek, Saad Mahamood2026

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

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