Elamur Research⌕
☰
home / papers / Understanding the Difficulty of Training… / cited by

Who cites «Understanding the Difficulty of Training Transformers»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Understanding the Difficulty of Training Transformers»

  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  2. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,442 citations
  3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 906 citations
  4. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectarXiv:2403.03853Xin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations

54 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/liu-2020-understanding-difficulty-training-transformers/cited-by/