---
title: "Who cites CountQA: How Well Do MLLMs Count in the Wild?"
description: "6 papers of the Elamur Research library cite «CountQA: How Well Do MLLMs Count in the Wild?», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/tamarapalli-2025-countqa-well-mllms-count-wild/cited-by/"
---
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# Who cites «CountQA: How Well Do MLLMs Count in the Wild?»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «CountQA: How Well Do MLLMs Count in the Wild?»](https://md.research.elamur.ai/free/en/papers/tamarapalli-2025-countqa-well-mllms-count-wild/)

1. [**Cutting Through the Noise: Boosting LLM Performance on Math Word Problems**Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/)
2. [**STEP3-VL-10B Technical Report arXiv:2601.09668**Ailin Huang, Chengyuan Yao, Chunrui Han, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/huang-2026-step3-vl-10b-technical/)
3. **[Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool Composition](https://md.research.elamur.ai/free/en/papers/wang-2026-simple-vgc-enhancing-visual-grounding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ye Wang, Qianglong Chen, Siyuan Wang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/tamarapalli-2025-countqa-well-mllms-count-wild/) — CountQA: How Well Do MLLMs Count in the Wild?