Elamur Research⌕
☰
home / papers / TrueTeacher: Learning Factual Consistency… / cited by

Who cites «TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models»

74 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models»

  1. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
  2. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  3. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
  4. LM vs LM: Detecting Factual Errors via Cross ExaminationRoi Cohen, May Hamri, Mor Geva, et al.2023 · 124 citations
  5. On Learning to Summarize with Large Language Models as ReferencesYixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
  6. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesSolmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
  7. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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/gekhman-2023-trueteacher-learning-factual-consistency-evaluation/cited-by/