---
title: "Jordan Boyd-Graber — papers of 2022 — Elamur Research"
description: "Jordan Boyd-Graber — papers of 2022: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/) / 2022

# Jordan Boyd-Graber — papers of 2022 — Elamur Research

2 papers · [all years of Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/#years)

- [Prompting GPT-3 To Be Reliable arXiv:2210.09150](https://md.research.elamur.ai/free/en/papers/si-2022-prompting-gpt-3-reliable/) — Chenglei Si, Zhe Gan, Zhengyuan Yang, et al. · 2022 · 210 citations

**[Adapting Coreference Resolution Models through Active Learning](https://md.research.elamur.ai/free/en/papers/yuan-2022-adapting-coreference-resolution-models-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Yuan, Patrick Xia, Chandler May, et al.*2022 · 35 citations*
