---
title: "Who cites Discovering Preference — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Discovering Preference Optimization Algorithms with and for Large Language Models», found…"
canonical: "https://research.elamur.ai/free/en/papers/lu-2024-discovering-preference-optimization-algorithms-large/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Discovering Preference Optimization Algorithms…](https://md.research.elamur.ai/free/en/papers/lu-2024-discovering-preference-optimization-algorithms-large/) / cited by

# Who cites «Discovering Preference Optimization Algorithms with and for Large Language Models»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Discovering Preference Optimization Algorithms with and for Large Language Models»](https://md.research.elamur.ai/free/en/papers/lu-2024-discovering-preference-optimization-algorithms-large/)

1. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery arXiv:2408.06292**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 372 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/)
2. [**Automated Design of Agentic Systems arXiv:2408.08435**Shengran Hu, Cong Lu, Jeff Clune*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-automated-design-agentic-systems/)
3. [**RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts arXiv:2411.15114**Hjalmar Wijk, Tao Lin, Joel Becker, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/wijk-2024-re-bench-evaluating-frontier/)
4. [**ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution arXiv:2509.19349**Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin*2025 · 42 citations*](https://md.research.elamur.ai/free/en/papers/lange-2025-shinkaevolve-open-ended-sample/)
5. **[MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?](https://md.research.elamur.ai/free/en/papers/zhang-2025-mlrc-bench-language-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.*2025 · 13 citations*
6. [**Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning arXiv:2504.05108**Anja Surina, Amin Mansouri, Lars Quaedvlieg, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lu-2024-discovering-preference-optimization-algorithms-large/) — Discovering Preference Optimization Algorithms with and for Large Language Models