---
title: "Who cites All Bark and No Bite: Rogue — 74 citing papers"
description: "74 papers of the Elamur Research library cite «All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure…"
canonical: "https://research.elamur.ai/free/en/papers/timkey-2021-all-bark-no-bite-rogue/cited-by/"
---
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# Who cites «All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality»

74 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality»](https://md.research.elamur.ai/free/en/papers/timkey-2021-all-bark-no-bite-rogue/)

1. [**Eliciting Latent Predictions from Transformers with the Tuned Lens arXiv:2303.08112**Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/)
2. [**The case for 4-bit precision: k-bit Inference Scaling Laws arXiv:2212.09720**Tim Dettmers, Luke Zettlemoyer*2022 · 119 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2022-case-4-bit-precision-k/) **[Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.*2022 · 59 citations* **[On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT](https://md.research.elamur.ai/free/en/papers/liu-2023-quick-kisses-how-make-them/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Chenxin Liu, Emmanuele Chersoni*2023 · 2 citations* **[Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE Model](https://md.research.elamur.ai/free/en/papers/zaikis-2026-embedding-similarity-is-not-quality/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Dimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.*2026* **[From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/) [Proceedings for the International Workshop on Computational Approaches to Language Change](https://md.research.elamur.ai/free/en/venues/lchange/)**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026* **[Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/timkey-2021-all-bark-no-bite-rogue/) — All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality