---
title: "Who cites Prompt-R1: Collaborative — 3 citing papers"
description: "3 papers of the Elamur Research library cite «Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement…"
canonical: "https://research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Prompt-R1: Collaborative Automatic Prompting…](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/) / cited by

# Who cites «Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning»](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/)

1. **[LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xin Feng, et al.*2026 · 2 citations*
2. **[MAXS: Meta-Adaptive Exploration with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-maxs-meta-adaptive-exploration-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.*2026*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/) — Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning