🔗 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?»

1. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
2. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
3. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/tamarapalli-2025-countqa-well-mllms-count-wild/cited-by/