---
title: "Who cites RubricHub: A Comprehensive and — 9 citing papers"
description: "9 papers of the Elamur Research library cite «RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated…"
canonical: "https://research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [RubricHub: A Comprehensive and Highly…](https://md.research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/) / cited by

# Who cites «RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation»

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 «RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation»](https://md.research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/)

1. **[When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification](https://md.research.elamur.ai/free/en/papers/zhao-2026-when-what-ask-askbench-rubric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiale Zhao, Ke Fang, Lu Cheng*2026 · 2 citations*
2. [**Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth arXiv:2607.00139**Sajjad Abdoli, Ghassan Al-Sumaidaee, Ahmad ElShiekh, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abdoli-2026-benchmarking-frontier-llms-arabic-cultural/)
3. **[CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-centaurta-self-improving-human-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lei Wang, Min Huang, Eduard Dragut*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/) — RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation