---
title: "Sewon Min — papers"
description: "Sewon Min: 11 papers in the Elamur Research library (2019–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/sewon-min/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sewon-min/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sewon Min

# Sewon Min

11 papers on this site (2019–2023)

[OpenAlex](https://openalex.org/A5039158419) · h-index 25 · 118 works · 7676 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [CREPE: Open-Domain Question Answering with False Presuppositions](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/) — Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al. · 2023
- [FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) — Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al. · 2023
- [REPLUG: Retrieval-Augmented Black-Box Language Models](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/) — Weijia Shi, Sewon Min, Michihiro Yasunaga, et al. · 2023
- [Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters](https://md.research.elamur.ai/free/en/papers/wang-2023-understanding-chain-thought-prompting-empirical/) — Boshi Wang, Sewon Min, Xiang Deng, et al. · 2023
- [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/) — Sewon Min, Xinxi Lyu, Ari Holtzman, et al. · 2022
- [Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) — Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al. · 2021
- [Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) — Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al. · 2020
- [UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/) — Daniel Khashabi, Sewon Min, Tushar Khot, et al. · 2020
- [A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) — Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al. · 2019
- [Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) — Sewon Min, Eric Wallace, Sameer Singh, et al. · 2019
- [Multi-hop Reading Comprehension through Question Decomposition and Rescoring](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/) — Sewon Min, Victor Zhong, Luke Zettlemoyer, et al. · 2019