--- title: "Who cites InternVideo2: Scaling Foundation — 34 citing papers" description: "34 papers of the Elamur Research library cite «InternVideo2: Scaling Foundation Models for Multimodal Video Understanding», found in their…" canonical: "https://research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [InternVideo2: Scaling Foundation Models for…](https://md.research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/) / cited by # Who cites «InternVideo2: Scaling Foundation Models for Multimodal Video Understanding» 34 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «InternVideo2: Scaling Foundation Models for Multimodal Video Understanding»](https://md.research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/) 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 · 276 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/) **[Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark Dataset](https://md.research.elamur.ai/free/en/papers/ohira-2026-can-video-llms-see-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Souto Ohira, Tosho Hirasawa, Mamoru Komachi*2026* 31 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wang-2024-internvideo2-scaling-foundation-models/) — InternVideo2: Scaling Foundation Models for Multimodal Video Understanding