🧑‍🔬 Who cites Shiyang Feng

50 citations of their works from 40 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Shiyang Feng

1. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
2. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
3. InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to VerificationarXiv:2505.16938InternAgent Team, Bo Zhang, Shiyang Feng, et al.2025 · 21 citations
4. Curie: Toward Rigorous and Automated Scientific Experimentation with AI AgentsarXiv:2502.16069Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.2025 · 20 citations
5. SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey WritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchao Yan, Shiyang Feng, Jiakang Yuan, et al.2025 · 20 citations
6. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
7. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
8. MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?Conference on Neural Information Processing Systems (NeurIPS)Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.2025 · 13 citations
9. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
10. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
11. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
12. InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM ResearcharXiv:2510.27598Yunze Wu, Dayuan Fu, Weiye Si, et al.2025 · 6 citations
13. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
14. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
15. Learning to Ideate for Machine Learning Engineering AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.2026 · 2 citations
16. AiraXiv: An AI-Driven Open-Access Platform for Human and AI ScientistsAnnual Meeting of the Association for Computational Linguistics (ACL)Junshu Pan, Panzhong Lu, Yixuan Weng, et al.2026 · 1 citation
17. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
18. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
19. Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom's TaxonomyAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Zhang, Zhe Zhao, HaiBin Wen, et al.2026
20. Feedback Is The Key for Automated Survey GenerationFindings of the Association for Computational LinguisticsTianyi Xu, Zhe Zhao, Tianshuo Wei, et al.2026

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