---
title: "Mike Lewis — papers of 2022 — 5 papers, the most cited first"
description: "Mike Lewis — papers of 2022: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Mike Lewis — papers of 2022 — 5 papers, the most cited first

5 papers · [all years of Mike Lewis](https://md.research.elamur.ai/free/en/authors/mike-lewis/#years)

**[Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Xinxi Lyu, Ari Holtzman, et al.*2022 · 1,444 citations*

- [Contrastive Decoding: Open-ended Text Generation as Optimization arXiv:2210.15097](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/) — Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al. · 2022 · 253 citations

**[Improving Passage Retrieval with Zero-Shot Question Generation](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 199 citations*

- [Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models arXiv:2208.03306](https://md.research.elamur.ai/free/en/papers/li-2022-branch-train-merge-embarrassingly-parallel/) — Margaret Li, Suchin Gururangan, Tim Dettmers, et al. · 2022 · 114 citations
- [Retrieval-Augmented Multimodal Language Modeling arXiv:2211.12561](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-retrieval-augmented-multimodal-language-modeling/) — Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, et al. · 2022 · 104 citations
