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)

Works by year

2020s

20221 paper 20211 paper

Papers

The most cited first (OpenAlex and our library).

Transformer Memory as a Differentiable Search Index (2022 · 220 citations)
Conventional retrieval relies on multi-stage pipelines, such as inverted indexes or dual encoders with nearest-neighbour search.
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization (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.

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 →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jai-gupta/

🧑‍🔬 Jai Gupta

🏛️ Affiliations

🧭 Topics

📅 Works by year

2020s

📄 Papers

Also in our library

🤝 Co-authors here

🔗 Cited by

Jai Gupta

Affiliations

Topics

Works by year

Papers

Co-authors here

Cited by