---
title: "Who cites Rethinking Rubric Generation for — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended…"
canonical: "https://research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Rethinking Rubric Generation for Improving LLM…](https://md.research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/) / cited by

# Who cites «Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks»](https://md.research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/)

1. [**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/)
2. **[IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-critic-fine-grained-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
3. [**Qwen-AgentWorld: Language World Models for General Agents arXiv:2606.24597**Yuxin Zuo, Zikai Xiao, Li Sheng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zuo-2026-qwen-agentworld-language-world/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/) — Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
