---
title: "Who cites MLR-Bench: Evaluating AI Agents — 21 citing papers"
description: "21 papers of the Elamur Research library cite «MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research», found in…"
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---
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# Who cites «MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research»

21 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research»](https://md.research.elamur.ai/free/en/papers/chen-2025-mlr-bench-evaluating-ai/)

1. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
2. [**AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite arXiv:2510.21652**Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bragg-2025-astabench-rigorous-benchmarking-ai-agents/)
3. **[SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks](https://md.research.elamur.ai/free/en/papers/zhao-2025-sciarena-open-evaluation-platform-non/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, et al.*2025 · 11 citations*
4. **[AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research](https://md.research.elamur.ai/free/en/papers/zhao-2025-abgen-evaluating-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.*2025 · 9 citations*
5. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
6. [**How Far Are We From True Auto-Research? arXiv:2605.19156**Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2026-far-true-auto-research/)
7. [**SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems arXiv:2605.10246**Zonglin Yang, Xingtong Liu, Xinyan Xu*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-sciintegrity-bench-benchmark-evaluating/)
8. [**FARS: A Fully Automated Research System Deployed at Scale arXiv:2606.31651**Qiong Tang, Tianxiang Sun, Xiangkun Hu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tang-2026-fars-fully-automated-research/)
9. **[Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom's Taxonomy](https://md.research.elamur.ai/free/en/papers/zhang-2026-bloom-eval-hierarchical-evaluation-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Zhang, Zhe Zhao, HaiBin Wen, et al.*2026*
10. **[MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding](https://md.research.elamur.ai/free/en/papers/xia-2026-mmscicode-real-world-evaluation-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Xia, Zheyuan Yang, Arman Cohan, et al.*2026*

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

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