---
title: "Who cites Chameleon: Mixed-Modal Early-Fusion Foundation…"
description: "99 papers of the Elamur Research library cite «Chameleon: Mixed-Modal Early-Fusion Foundation Models», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Chameleon: Mixed-Modal Early-Fusion Foundation…](https://md.research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/) / cited by

# Who cites «Chameleon: Mixed-Modal Early-Fusion Foundation Models»

99 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/)

1. [**OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models**Yuliang Liu, Zhang Li, Mingxin Huang, et al.*2023 · 297 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-ocrbench-hidden-mystery-ocr-large/)
2. [**Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling**Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/)
3. [**A Zipfian Analysis of Visual Token Distributions for AI-Generated Images**Andrew Shin*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-zipfian-analysis-visual-token-distributions/)
4. [**STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/team-2024-chameleon-mixed-modal-early-fusion/) — Chameleon: Mixed-Modal Early-Fusion Foundation Models
