---
title: "Who cites To Distill or Not to Distill? On the — 5 citing papers"
description: "5 papers of the Elamur Research library cite «To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/waheed-2024-distill-or-not-distill-robustness/cited-by/"
---
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# Who cites «To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation»](https://md.research.elamur.ai/free/en/papers/waheed-2024-distill-or-not-distill-robustness/)

1. **[Dialectal Coverage And Generalization in Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/djanibekov-2025-dialectal-coverage-generalization-arabic-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amirbek Djanibekov, Hawau Olamide Toyin, Raghad Alshalan, et al.*2025 · 17 citations*
2. **[Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs](https://md.research.elamur.ai/free/en/papers/anshumann-2025-sparse-logit-sampling-accelerating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.*2025 · 6 citations*
3. **[Zero-Shot Context-Aware ASR for Diverse Arabic Varieties](https://md.research.elamur.ai/free/en/papers/talafha-2026-zero-shot-context-aware-asr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bashar Talafha, Amin Abu Alhassan, Muhammad Abdul-Mageed*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/waheed-2024-distill-or-not-distill-robustness/) — To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation