---
title: "Dániel Simig — papers of 2023 — 2 papers, the most cited first"
description: "Dániel Simig — papers of 2023: 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/daniel-simig/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniel-simig/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Dániel Simig](https://md.research.elamur.ai/free/en/authors/daniel-simig/) / 2023

# Dániel Simig — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Dániel Simig](https://md.research.elamur.ai/free/en/authors/daniel-simig/#years)

- [SemDeDup: Data-efficient learning at web-scale through semantic deduplication arXiv:2303.09540](https://md.research.elamur.ai/free/en/papers/abbas-2023-semdedup-data-efficient-learning-web/) — Amro Abbas, Kushal Tirumala, Dániel Simig, et al. · 2023 · 108 citations

**[D4: Improving LLM Pretraining via Document De-Duplication and Diversification](https://md.research.elamur.ai/free/en/papers/tirumala-2023-d4-improving-llm-pretraining-document/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.*2023 · 81 citations*
