🔗 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»

1. HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.2020 · 294 citations
2. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
3. Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding LearningStudies in computational intelligenceOmer Nacar, Anis Koubaa2024 · 16 citations
4. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxing Xu, Hao Gu, Lujun Li, et al.2026 · 3 citations
5. From Local to Global: Revisiting Structured Pruning Paradigms for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (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.

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