---
title: "Who cites Observational Scaling Laws and the…"
description: "28 papers of the Elamur Research library cite «Observational Scaling Laws and the Predictability of Language Model Performance», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Observational Scaling Laws and the Predictability…](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/) / cited by

# Who cites «Observational Scaling Laws and the Predictability of Language Model Performance»

28 papers of our library cite it (of the 140,884 whose bibliographies we read) · 2 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/)

1. [**Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws**Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/sardana-2024-chinchilla-optimal-accounting-inference-language/)
2. [**Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies**Chaofan Tao, Qian Liu, Longxu Dou, et al.*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tao-2024-scaling-laws-vocabulary-larger-models/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/) — Observational Scaling Laws and the Predictability of Language Model Performance