---
title: "Jai Gupta — author profile and papers"
description: "Jai Gupta, AISECT University: 2 papers on Elamur Research (2021–2022), h-index 22 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jai-gupta/"
---
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# Jai Gupta

Jai Gupta has 2 papers in our library, in 2021–2022, most of them on [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/), [Vinh Q. Tran](https://md.research.elamur.ai/free/en/authors/vinh-q-tran/), [Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/).

2 papers in our library · 2021–2022

[OpenAlex](https://openalex.org/A5008444234) · [ORCID](https://orcid.org/0009-0009-3233-7170) · [**h-index 22**](https://openalex.org/authors/A5008444234) · [115 works](https://openalex.org/works?filter=author.id:A5008444234) · [1,850 citations](https://openalex.org/works?filter=author.id:A5008444234&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jai-gupta/#papers) · [🔗 400 citations in our library](https://md.research.elamur.ai/free/en/authors/jai-gupta/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #3234](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3234)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jai+Gupta) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jai+Gupta) · [dblp](https://dblp.org/search?q=Jai+Gupta) · [ACL Anthology](https://aclanthology.org/search/?q=Jai+Gupta)

## Affiliations

[🎓**AISECT University** Bhopal · India 2025 · 1 paper*current*](https://ror.org/020n82m84) · [🎓**Raffles University** Neemrana 2025 · 1 paper*current*](https://ror.org/00rtaje08) · [🎓**Indian Institute of Technology Kanpur** Kanpur · India 1979–2015 · 21 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kanpur/) · [🏢**Google** Mountain View · United States 2019–2024 · 14 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Shiv Nadar University** Dadri · India 1974–2020 · 6 papers](https://ror.org/05aqahr97) · [🎓**Indian Institute of Technology Roorkee** Roorkee · India 1982–1995 · 6 papers](https://ror.org/00582g326) · [🎓**Rajiv Gandhi Institute of Petroleum Technology** Raebareli · India 2009–2016 · 5 papers](https://ror.org/00n7swc17) · [🎓**Aligarh Muslim University** Aligarh · India 1969–1975 · 5 papers](https://ror.org/03kw9gc02) · [🎓**Lingaya's Vidyapeeth** Faridabad · India 2016–2019 · 3 papers](https://ror.org/01vwns954) · [🎓**Mary Kay O'Connor Process Safety Center** College Station · United States 2003 · 3 papers](https://ror.org/013my1d15)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed.

## Topics

[Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Transformer Memory as a Differentiable Search Index](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/)** *(2022 · 220 citations)* Conventional retrieval relies on multi-stage pipelines, such as inverted indexes or dual encoders with nearest-neighbour search.
2. **[Charformer: Fast Character Transformers via Gradient-based Subword Tokenization](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)** *(2021 · 179 citations)* Most NLP models rely on a subword tokenizer that is fixed before training. This makes them fragile to rare words, typos and noisy text. It also breaks low-resource languages into many fragments and makes adaptation to new domains harder. Feeding raw characters to a Transformer avoids these issues, but the long…

## Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/) ×2
- [Vinh Q. Tran](https://md.research.elamur.ai/free/en/authors/vinh-q-tran/) ×2
- [Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/) ×2
- [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/) ×2
- [Cong Yu](https://md.research.elamur.ai/free/en/authors/cong-yu/)
- [Donald Metzler](https://md.research.elamur.ai/free/en/authors/donald-metzler/)
- [Hyung Won Chung](https://md.research.elamur.ai/free/en/authors/hyung-won-chung/)
- [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/)
- [Kai Hui](https://md.research.elamur.ai/free/en/authors/kai-hui/)
- [Mostafa Dehghani](https://md.research.elamur.ai/free/en/authors/mostafa-dehghani/)
- [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/)
- [Tal Schuster](https://md.research.elamur.ai/free/en/authors/tal-schuster/)

## Cited by

Papers of our library cite their works 400 times (of the 140,884 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jai-gupta/cited-by/).
