--- title: "Le Hou — papers of 2023 — 5 papers, the most cited first" description: "Le Hou — papers of 2023: 5 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/le-hou/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/le-hou/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Le Hou](https://md.research.elamur.ai/free/en/authors/le-hou/) / 2023 # Le Hou — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Le Hou](https://md.research.elamur.ai/free/en/authors/le-hou/#years) - [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 Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Huang, Shixiang Gu, Le Hou, et al.*2023 · 575 citations* - [Towards Expert-Level Medical Question Answering with Large Language Models arXiv:2305.09617](https://md.research.elamur.ai/free/en/papers/singhal-2023-towards-expert-level-medical-question/) — Karan Singhal, Tao Tu, Juraj Gottweis, et al. · 2023 · 513 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