--- title: "Who cites Large Language Models are Zero — 40 citing papers" description: "40 papers of the Elamur Research library cite «Large Language Models are Zero Shot Hypothesis Proposers», found in their bibliographies…" canonical: "https://research.elamur.ai/free/en/papers/qi-2023-large-language-models-zero-shot/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/qi-2023-large-language-models-zero-shot/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Large Language Models are Zero Shot Hypothesis…](https://md.research.elamur.ai/free/en/papers/qi-2023-large-language-models-zero-shot/) / cited by # Who cites «Large Language Models are Zero Shot Hypothesis Proposers» 40 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Large Language Models are Zero Shot Hypothesis Proposers»](https://md.research.elamur.ai/free/en/papers/qi-2023-large-language-models-zero-shot/) 1. [**ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models arXiv:2404.07738**Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/baek-2024-researchagent-iterative-research-idea/) 2. [**Large Language Models for Automated Open-domain Scientific Hypotheses Discovery arXiv:2309.02726**Zonglin Yang, Xinya Du, Junxian Li, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-automated/) 3. [**Hypothesis Generation with Large Language Models arXiv:2404.04326**Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei;, Chenhao Tan*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-hypothesis-generation-large-language/) 4. [**Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents arXiv:2410.13185**Long Li, Weiwen Xu, Jiayan Guo, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-chain-ideas-revolutionizing-research/) 5. [**LLM-SR: Scientific Equation Discovery via Programming with Large Language Models arXiv:2404.18400**Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/shojaee-2024-llm-sr-scientific-equation/) 6. [**MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents arXiv:2408.14033**Ruochen Li, Teerth Patel, Qingyun Wang, et al.*2024 · 43 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mlr-copilot-autonomous-machine/) 7. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery](https://md.research.elamur.ai/free/en/papers/zheng-2025-automation-autonomy-survey-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.*2025 · 39 citations* 8. [**LLM4SR: A Survey on Large Language Models for Scientific Research arXiv:2501.04306**Ziming Luo, Zonglin Yang, Zexin Xu, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/luo-2025-llm4sr-survey-large-language/) 9. [**MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses arXiv:2410.07076**Zonglin Yang, Wanhao Liu, Ben Gao, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-moose-chem-large-language/) 10. **[Can Large Language Models Unlock Novel Scientific Research Ideas?](https://md.research.elamur.ai/free/en/papers/kumar-2025-can-large-language-models-unlock/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.*2025 · 27 citations* 11. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations* 12. [**Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning arXiv:2504.17192**Minju Seo, Jinheon Baek, Seongyun Lee, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/seo-2025-paper2code-automating-code-generation/) 13. [**InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to Verification arXiv:2505.16938**InternAgent Team, Bo Zhang, Shiyang Feng, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-internagent-agent-becomes-scientist/) 14. [**Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback arXiv:2501.03916**Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2025-dolphin-moving-closed-loop/) 15. [**From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery arXiv:2508.14111**Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/) 16. [**Sparks of Science: Hypothesis Generation Using Structured Paper Data arXiv:2504.12976**Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/o-neill-2025-sparks-science-hypothesis-generation-using/) 17. [**Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models arXiv:2411.02382**Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-improving-scientific-hypothesis-generation-knowledge/) 18. **[Literature Meets Data: A Synergistic Approach to Hypothesis Generation](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.*2025 · 12 citations* 19. **[Beyond Noise: Characterizing Creative Potential in Unverifiable LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-noise-characterizing-creative-potential/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Yan, Chunhong Zhang, Haiyu Zhao, et al.*2026* 20. **[Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models](https://md.research.elamur.ai/free/en/papers/mohammadi-2026-experiments-or-outcomes-probing-scientific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seyedali Mohammadi, Manas Gaur, Francis Ferraro*2026* 20 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/qi-2023-large-language-models-zero-shot/) — Large Language Models are Zero Shot Hypothesis Proposers