---
title: "Who cites SafeMT: Multi-turn Safety for — 3 citing papers"
description: "3 papers of the Elamur Research library cite «SafeMT: Multi-turn Safety for Multimodal Language Models», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SafeMT: Multi-turn Safety for Multimodal Language…](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/) / cited by

# Who cites «SafeMT: Multi-turn Safety for Multimodal Language Models»

3 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 «SafeMT: Multi-turn Safety for Multimodal Language Models»](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/)

1. **[Perception, Understanding and Reasoning: A Multimodal Benchmark for Video Fake News Detection](https://md.research.elamur.ai/free/en/papers/yakun-2026-perception-understanding-reasoning-multimodal-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cui Yakun, Peng Qi, Fushuo Huo, et al.*2026 · 3 citations*
2. **[MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/liu-2026-mtmcs-bench-evaluating-contextual-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Liu, Dongwhi Kim, Yixin Wan, et al.*2026 · 1 citation*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/) — SafeMT: Multi-turn Safety for Multimodal Language Models