---
title: "Who cites A Systematic Survey of Automatic — 19 citing papers"
description: "19 papers of the Elamur Research library cite «A Systematic Survey of Automatic Prompt Optimization Techniques», found in their…"
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---
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# Who cites «A Systematic Survey of Automatic Prompt Optimization Techniques»

19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «A Systematic Survey of Automatic Prompt Optimization Techniques»](https://md.research.elamur.ai/free/en/papers/ramnath-2025-systematic-survey-automatic-prompt-optimization/)

1. **[EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection](https://md.research.elamur.ai/free/en/papers/yang-2026-evotool-self-evolving-tool-use/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuo Yang, Caren Han, Xueqi Ma, et al.*2026 · 6 citations*
2. **[COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations](https://md.research.elamur.ai/free/en/papers/xing-2026-communitynotes-dataset-exploring-helpfulness-fact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Xing, Preslav Nakov, Timothy Baldwin, et al.*2026 · 2 citations*
3. **[LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-llm-prompt-duel-optimizer-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanchen Wu, Saurabh Verma, Justin Lee, et al.*2026 · 2 citations*
4. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.*2026*
5. **[Gradient-Guided Multi-Judge Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-gradient-guided-multi-judge-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ramnath-2025-systematic-survey-automatic-prompt-optimization/) — A Systematic Survey of Automatic Prompt Optimization Techniques