---
title: "Who cites Infinity-MM: Scaling Multimodal — 13 citing papers"
description: "13 papers of the Elamur Research library cite «Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction…"
canonical: "https://research.elamur.ai/free/en/papers/gu-2024-infinity-mm-scaling-multimodal-performance/cited-by/"
---
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# Who cites «Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data»](https://md.research.elamur.ai/free/en/papers/gu-2024-infinity-mm-scaling-multimodal-performance/)

1. [**Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling arXiv:2412.05271**Zhe Chen, Weiyun Wang, Yue Cao, et al.*2024 · 287 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/)
2. [**InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models arXiv:2504.10479**Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.*2025 · 216 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-internvl3-exploring-advanced-training/)
3. [**InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency arXiv:2508.18265**Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-internvl3-5-advancing-open/)
4. **[DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents](https://md.research.elamur.ai/free/en/papers/shi-2026-damo-data-mixing-optimizer-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Shi, Jun Yang, Ni Yang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/gu-2024-infinity-mm-scaling-multimodal-performance/) — Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data