---
title: "Who cites Algorithm Discovery With LLMs: — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning», found…"
canonical: "https://research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Algorithm Discovery With LLMs: Evolutionary…](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/) / cited by

# Who cites «Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning»](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/)

1. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery arXiv:2506.13131**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 202 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/)
2. [**Training AI Scientists to Replicate Research arXiv:2608.13331**Damon Falck, Samer Sabri, Anja Surina, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/falck-2026-training-ai-scientists-replicate/)
3. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
4. **[Evolutionary Search for Automated Design of Uncertainty Quantification Methods](https://md.research.elamur.ai/free/en/papers/seleznyov-2026-evolutionary-search-automated-design-uncertainty/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/) — Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning