---
title: "Amit Seker — papers of 2022 — 2 papers, the most cited first"
description: "Amit Seker — papers of 2022: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/amit-seker/year/2022/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/amit-seker/year/2022/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Amit Seker](https://md.research.elamur.ai/free/en/authors/amit-seker/) / 2022

# Amit Seker — papers of 2022 — 2 papers, the most cited first

2 papers · [all years of Amit Seker](https://md.research.elamur.ai/free/en/authors/amit-seker/#years)

- [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · Modern Hebrew · 57 citations
- [Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/) — Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al. · Ancient Hebrew · 28 citations