---
title: "Who cites MingHua Ma — 30 papers of our library"
description: "30 papers of the Elamur Research library cite the works of MingHua Ma, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/minghua-ma/cited-by/"
---
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# Who cites MingHua Ma

30 citations of their works from 30 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← MingHua Ma](https://md.research.elamur.ai/free/en/authors/minghua-ma/)

1. **[OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 264 citations*
2. [**UI-TARS: Pioneering Automated GUI Interaction with Native Agents arXiv:2501.12326**Yujia Qin, Yining Ye, Junjie Fang, et al.*2025 · 112 citations*](https://md.research.elamur.ai/free/en/papers/qin-2025-ui-tars-pioneering-automated/)
3. [**AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents arXiv:2405.14573**Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/rawles-2024-androidworld-dynamic-benchmarking-environment-autonomous/)
4. [**Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents arXiv:2410.05243**Boyu Gou, Ruohan Wang, Boyuan Zheng, et al.*2024 · 74 citations*](https://md.research.elamur.ai/free/en/papers/gou-2024-navigating-digital-world-humans-universal/)
5. **[Group-in-Group Policy Optimization for LLM Agent Training](https://md.research.elamur.ai/free/en/papers/feng-2025-group-group-policy-optimization-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lang Feng, Zhenghai Xue, Tingcong Liu, et al.*2025 · 69 citations*
6. [**Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents arXiv:2408.07199**Pranav Putta, Edmund Mills, Naman Garg, et al.*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/putta-2024-agent-q-advanced-reasoning-learning/)
7. [**OS-ATLAS: A Foundation Action Model for Generalist GUI Agents arXiv:2410.23218**Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-os-atlas-foundation-action-model/)
8. [**mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models arXiv:2408.04840**Jiabo Ye, Haiyang Xu, Haowei Liu, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-mplug-owl3-towards-long-image/)
9. **[DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2025-dimo-gui-advancing-test-time/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hang Wu, Hongkai Chen, Yujun Cai, et al.*2025 · 8 citations*
10. **[ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback](https://md.research.elamur.ai/free/en/papers/mou-2026-toolsafe-enhancing-tool-invocation-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yutao Mou, Zhangchi Xue, Lijun Li, et al.*2026 · 3 citations*
11. **[A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction](https://md.research.elamur.ai/free/en/papers/takeshita-2026-a11y-compressor-framework-enhancing-efficiency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michito Takeshita, Takuro Kawada, Takumi Ohashi, et al.*2026*
12. **[STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training](https://md.research.elamur.ai/free/en/papers/qi-2026-stapo-selective-trajectory-aware-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiuyi Qi, Tian Liang, Mutian Bao, et al.*2026*

18 more citing papers of our library have no page here yet.

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