A Survey of Large Language Models
Wayne Xin Zhao and others, “A Survey of Large Language Models”. arXiv:2303.18223v1 (submitted 31 March 2023). A survey: secondary for the history it recounts; primary for its own definitions.
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- No authorship claim recorded yet. The source records list Wayne Xin Zhao, Kun Zhou, Junyi Li and Tianyi Tang.
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- arXiv abstract page for 2303.18223 arXiv · published 2023-03-31 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 a3370782197b4e1d659fb733aec9c22abedf2415d78aebfdf0b8c57e2475fe09). arXiv abstract page as served 2026-10-29 (submission history) Only the first-listed authors are recorded here; the source credits further authors.
- A Survey of Large Language Models arXiv · published 2023-03-31 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 d58be5fc39608dc9aec45194c602436d793f2f2bf56f267d0e38d6258a9f7a9e). arXiv:2303.18223v1 PDF; later revisions (many) not substituted Only the first-listed authors are recorded here; the source credits further authors.
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- Training Compute-Optimal Large Language ModelsZhao et al. (2023) cite Hoffmann et al., "Training compute-optimal large language models" (2022), as reference [34], one of four works cited in the sentence that says the research community coins the term "large language models (LLM)" for large-sized pre-trained language models.2023-03-31 · event · Stated in source · Supported Inspect claim & evidence ↗Training Compute-Optimal Large Language Models: document page →
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsZhao et al. (2023) cite Wei et al., "Chain of thought prompting elicits reasoning in large language models" (2022), as reference [33], one of four works cited in the sentence that says the research community coins the term "large language models (LLM)" for large-sized pre-trained language models.2023-03-31 · event · Stated in source · Supported Inspect claim & evidence ↗Chain-of-Thought Prompting Elicits Reasoning in Large Language Models: document page →
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