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Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Research article (Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023) · cited 10× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. Retrieved May 24, 2026, from https://4ort.xyz/entity/robustness-challenges-in-model-distillation-and-pruning-for-natural-language-understanding
MLA“Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robustness-challenges-in-model-distillation-and-pruning-for-natural-language-understanding.
BibTeX@misc{4ortxyz_robustness-challenges-in-model-distillation-and-pruning-for-natural-language-understanding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding}}, year = {2026}, url = {https://4ort.xyz/entity/robustness-challenges-in-model-distillation-and-pruning-for-natural-language-understanding}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding — https://4ort.xyz/entity/robustness-challenges-in-model-distillation-and-pruning-for-natural-language-understanding (retrieved 2026-05-24)