---
title: "Who cites MMSearch-R1: Incentivizing LMMs to Search"
description: "15 papers of the Elamur Research library cite «MMSearch-R1: Incentivizing LMMs to Search», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/wu-2026-mmsearch-r1-incentivizing-lmms-search/cited-by/"
---
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# Who cites «MMSearch-R1: Incentivizing LMMs to Search»

15 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 «MMSearch-R1: Incentivizing LMMs to Search»](https://md.research.elamur.ai/free/en/papers/wu-2026-mmsearch-r1-incentivizing-lmms-search/)

1. [**Qwen3-VL Technical Report arXiv:2511.21631**Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.*2025 · 370 citations*](https://md.research.elamur.ai/free/en/papers/bai-2025-qwen3-vl-technical-report/)
2. **[Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification](https://md.research.elamur.ai/free/en/papers/ma-2026-ground-then-rank-revisiting-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qian Ma, Qiong Wu, Zhengyi Zhou, et al.*2026 · 1 citation*
3. **[DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search](https://md.research.elamur.ai/free/en/papers/qin-2026-dora-dual-objective-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangming Qin, Yuhao Deng, Yukun Zhao, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wu-2026-mmsearch-r1-incentivizing-lmms-search/) — MMSearch-R1: Incentivizing LMMs to Search
