---
title: "Who cites Crowd Comparative Reasoning: — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge»…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Crowd Comparative Reasoning: Unlocking…](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/) / cited by

# Who cites «Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge»

10 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 «Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge»](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/)

1. [**A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? arXiv:2503.24235**Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.*2025 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-test-time-scaling-large/)
2. **[ImageEval 2025: The First Arabic Image Captioning Shared Task](https://md.research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahlam Bashiti, Alaa Aljabari, Hadi Hamoud, et al.*2025 · 13 citations*
3. **[RubricBench: Aligning Model-Generated Rubrics with Human Standards](https://md.research.elamur.ai/free/en/papers/zhou-2026-rubricbench-aligning-model-generated-rubrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Zhou, Qiyuan Zhang, Yufei Wang, et al.*2026 · 3 citations*
4. **[SAGE : A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn Agent Evaluation](https://md.research.elamur.ai/free/en/papers/shea-2026-sage-top-down-bottom-up/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ryan Shea, Yunan Lu, Liang Qiu, et al.*2026 · 1 citation*
5. **[Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-length-scaling-synergizing-breadth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyuan Zhang, Yufei Wang, Tianhe Wu, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/) — Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge