---
title: "Who cites Integrating Multimodal Information in Large…"
description: "69 papers of the Elamur Research library cite «Integrating Multimodal Information in Large Pretrained Transformers», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Integrating Multimodal Information in Large…](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/) / cited by

# Who cites «Integrating Multimodal Information in Large Pretrained Transformers»

69 papers of our library cite it (of the 140,884 whose bibliographies we read) · 2 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/)

1. [**ChatGPT: Jack of all trades, master of none**Jan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.*2023 · 863 citations*](https://md.research.elamur.ai/free/en/papers/kocon-2023-chatgpt-jack-all-trades-master/)
2. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)

67 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/) — Integrating Multimodal Information in Large Pretrained Transformers