---
title: "Who cites Phi-3 Safety Post-Training: — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Phi-3 Safety Post-Training: Aligning Language Models with a \"Break-Fix\" Cycle», found in their…"
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---
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# Who cites «Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle»

11 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 «Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle»](https://md.research.elamur.ai/free/en/papers/haider-2024-phi-3-safety-post-training/)

1. [**Phi-4 Technical Report arXiv:2412.08905**Marah Abdin, Jyoti Aneja, Harkirat Behl, et al.*2024 · 502 citations*](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-4-technical-report/)
2. [**Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs arXiv:2503.01743**Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.*2025 · 152 citations*](https://md.research.elamur.ai/free/en/papers/microsoft-2025-phi-4-mini-technical-report/)
3. [**GRIN: GRadient-INformed MoE arXiv:2409.12136**Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/)
4. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/haider-2024-phi-3-safety-post-training/) — Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle