---
title: "Who cites Once-for-All: Train One Network — 155 citing papers"
description: "155 papers of the Elamur Research library cite «Once-for-All: Train One Network and Specialize it for Efficient Deployment», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cai-2019-once-all-train-one-network/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Once-for-All: Train One Network and Specialize it…](https://md.research.elamur.ai/free/en/papers/cai-2019-once-all-train-one-network/) / cited by

# Who cites «Once-for-All: Train One Network and Specialize it for Efficient Deployment»

155 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Once-for-All: Train One Network and Specialize it for Efficient Deployment»](https://md.research.elamur.ai/free/en/papers/cai-2019-once-all-train-one-network/)

1. **[HAT: Hardware-Aware Transformers for Efficient Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.*2020 · 294 citations*
2. [**Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation arXiv:2307.15337**Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.*2023 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ning-2023-skeleton-thought-prompting-llms-efficient/)
3. **[Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning](https://md.research.elamur.ai/free/en/papers/nacar-2024-enhancing-semantic-similarity-understanding-arabic/) [Studies in computational intelligence](https://md.research.elamur.ai/free/en/venues/studies-in-computational-intelligence/)**Omer Nacar, Anis Koubaa*2024 · 16 citations*
4. **[Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-bit-bit-progressive-qat-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binxing Xu, Hao Gu, Lujun Li, et al.*2026 · 3 citations*
5. **[From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-local-global-revisiting-structured-pruning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyan Wang, Enmao Diao, Qi Le, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/cai-2019-once-all-train-one-network/) — Once-for-All: Train One Network and Specialize it for Efficient Deployment