---
title: "Denny Zhou — papers of 2023 — 9 papers, the most cited first"
description: "Denny Zhou — papers of 2023: 9 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/denny-zhou/year/2023/"
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# Denny Zhou — papers of 2023 — 9 papers, the most cited first

9 papers · [all years of Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/#years)

**[Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them](https://md.research.elamur.ai/free/en/papers/suzgun-2023-challenging-big-bench-tasks-whether/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mirac Suzgun, Nathan Scales, Nathanael Schärli, et al.*2023 · 1,119 citations*

- [Instruction-Following Evaluation for Large Language Models arXiv:2311.07911](https://md.research.elamur.ai/free/en/papers/zhou-2023-instruction-following-evaluation-large-language/) — Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al. · 2023 · 615 citations
- [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning arXiv:2301.13688](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · 2023 · 607 citations
- [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
- [FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation arXiv:2310.03214](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/) — Tu Vu, Mohit Iyyer, Xuezhi Wang, et al. · 2023 · 134 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