---
title: "Hiroaki Hayashi — papers of 2021 — Elamur Research"
description: "Hiroaki Hayashi — papers of 2021: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Hiroaki Hayashi — papers of 2021 — Elamur Research

3 papers · [all years of Hiroaki Hayashi](https://md.research.elamur.ai/free/en/authors/hiroaki-hayashi/#years)

**[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,423 citations*

**[GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 322 citations*

**[WikiAsp: A Dataset for Multi-domain Aspect-based Summarization](https://md.research.elamur.ai/free/en/papers/hayashi-2021-wikiasp-dataset-multi-domain-aspect/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hiroaki Hayashi, Prashant Budania, Peng Wang, et al.*2021 · 76 citations*