🔗 Who cites «BERT Busters: Outlier Dimensions that Disrupt Transformers»

52 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «BERT Busters: Outlier Dimensions that Disrupt Transformers»

1. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
2. SqueezeLLM: Dense-and-Sparse QuantizationarXiv:2306.07629Sehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
   All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational QualityConference on Empirical Methods in Natural Language Processing (EMNLP)William Timkey, Marten van Schijndel2021 · 139 citations
3. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 119 citations

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

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