---
title: "Jianmo Ni — papers"
description: "Jianmo Ni: 6 papers in the Elamur Research library (2019–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/jianmo-ni/"
---
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# Jianmo Ni

6 papers on this site (2019–2022)

[OpenAlex](https://openalex.org/A5077817759) · [ORCID](https://orcid.org/0000-0002-6863-8073) · h-index 20 · 56 works · 3308 citations (openalex-snapshot, 2026-10-14)

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

- [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/) — Mandy Guo, Joshua Ainslie, David Uthus, et al. · 2022
- [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/) — Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al. · 2022
- [Transformer Memory as a Differentiable Search Index](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/) — Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al. · 2022
- [Large Dual Encoders Are Generalizable Retrievers](https://md.research.elamur.ai/free/en/papers/ni-2021-large-dual-encoders-generalizable-retrievers/) — Jianmo Ni, Chen Qu, Jing Lu, et al. · 2021
- [Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models](https://md.research.elamur.ai/free/en/papers/ni-2021-sentence-t5-scalable-sentence-encoders/) — Jianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al. · 2021
- [Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/) — Jianmo Ni, Jiacheng Li, Julian McAuley · 2019
