---
title: "Who cites E-EVAL: A Comprehensive — 10 citing papers"
description: "10 papers of the Elamur Research library cite «E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large…"
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# Who cites «E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models»](https://md.research.elamur.ai/free/en/papers/hou-2024-e-eval-comprehensive-chinese/)

1. **[OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems](https://md.research.elamur.ai/free/en/papers/he-2024-olympiadbench-challenging-benchmark-promoting-agi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.*2024 · 456 citations*
2. **[PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-physreason-comprehensive-benchmark-physics-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Zhang, Yuxuan Dong, Yanrui Wu, et al.*2025 · 25 citations*
3. **[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering](https://md.research.elamur.ai/free/en/papers/lu-2026-cogbench-benchmarking-cognitive-alignment-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Lu, Zhichun Wang, Yuanhao Sun, et al.*2026*
4. **[Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice](https://md.research.elamur.ai/free/en/papers/wang-2026-ip-intelligence-benchmarking-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyao Wang, Guhong Chen, Hongbo Wang, et al.*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/hou-2024-e-eval-comprehensive-chinese/) — E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
