---
title: "Jason Wei — papers of 2023 — 6 papers, the most cited first"
description: "Jason Wei — 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/jason-wei/year/2023/"
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# Jason Wei — papers of 2023 — 6 papers, the most cited first

6 papers · [all years of Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/#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*

- [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
- [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
- [A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity arXiv:2305.13169](https://md.research.elamur.ai/free/en/papers/longpre-2023-pretrainer-s-guide-training-data/) — Shayne Longpre, Gregory Yauney, Emily Reif, et al. · 2023 · 104 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