---
title: "Who cites EVOLvE: Evaluating and — 8 citing papers"
description: "8 papers of the Elamur Research library cite «EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/nie-2024-evolve-evaluating-optimizing-llms-context/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/nie-2024-evolve-evaluating-optimizing-llms-context/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [EVOLvE: Evaluating and Optimizing LLMs For…](https://md.research.elamur.ai/free/en/papers/nie-2024-evolve-evaluating-optimizing-llms-context/) / cited by

# Who cites «EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration»

8 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 «EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration»](https://md.research.elamur.ai/free/en/papers/nie-2024-evolve-evaluating-optimizing-llms-context/)

1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
2. [**Scaling Test-Time Compute Without Verification or RL is Suboptimal arXiv:2502.12118**Amrith Setlur, Nived Rajaraman, Sergey Levine, et al.*2025 · 26 citations*](https://md.research.elamur.ai/free/en/papers/setlur-2025-scaling-test-time-compute-verification/)
3. [**BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery arXiv:2501.01540**Kanishk Gandhi, Michael Y. Li, Lyle Goodyear, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2025-boxinggym-benchmarking-progress-automated/)
4. **[Large Language Model-Enhanced Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-model-enhanced-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahang Sun, Zhiyong Wang, Runhan Yang, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/nie-2024-evolve-evaluating-optimizing-llms-context/) — EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration