---
title: "Who cites Chinese SafetyQA: A Safety — 4 citing papers"
description: "4 papers of the Elamur Research library cite «Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models»…"
canonical: "https://research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Chinese SafetyQA: A Safety Short-form Factuality…](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/) / cited by

# Who cites «Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models»

4 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 «Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models»](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/)

1. **[HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States](https://md.research.elamur.ai/free/en/papers/jiang-2025-hiddendetect-detecting-jailbreak-attacks-against/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilei Jiang, Xinyan Gao, Tianshuo Peng, et al.*2025 · 15 citations*
2. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/) — Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models
