--- title: "Xinyun Chen — papers of 2023 — 6 papers, the most cited first" description: "Xinyun Chen — papers of 2023: 6 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/xinyun-chen/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinyun-chen/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xinyun Chen](https://md.research.elamur.ai/free/en/authors/xinyun-chen/) / 2023 # Xinyun Chen — papers of 2023 — 6 papers, the most cited first 6 papers · [all years of Xinyun Chen](https://md.research.elamur.ai/free/en/authors/xinyun-chen/#years) - [Large Language Models Can Be Easily Distracted by Irrelevant Context arXiv:2302.00093](https://md.research.elamur.ai/free/en/papers/shi-2023-large-language-models-easily-distracted/) — Freda Shi, Xinyun Chen, Kanishka Misra, et al. · 2023 · 534 citations - [Large Language Models as Optimizers arXiv:2309.03409](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/) — Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al. · 2023 · 413 citations - [Large Language Models Cannot Self-Correct Reasoning Yet arXiv:2310.01798](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-cannot-self/) — Jie Huang, Xinyun Chen, Swaroop Mishra, et al. · 2023 · 412 citations - [Larger language models do in-context learning differently arXiv:2303.03846](https://md.research.elamur.ai/free/en/papers/wei-2023-larger-language-models-context-learning/) — Jerry Wei, Jason Wei, Yi Tay, et al. · 2023 · 285 citations - [Universal Self-Consistency for Large Language Model Generation arXiv:2311.17311](https://md.research.elamur.ai/free/en/papers/chen-2023-universal-self-consistency-large-language/) — Xinyun Chen, Renat Aksitov, Uri Alon, et al. · 2023 · 92 citations - [Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models arXiv:2305.14705](https://md.research.elamur.ai/free/en/papers/shen-2023-mixture-experts-meets-instruction-tuning/) — Sheng Shen, Le Hou, Yanqi Zhou, et al. · 2023 · 70 citations