---
title: "Noah A. Smith — papers of 2023 — 8 papers, the most cited first"
description: "Noah A. Smith — papers of 2023: 8 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Noah A. Smith — papers of 2023 — 8 papers, the most cited first

8 papers · [all years of Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/#years)

**[How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](https://md.research.elamur.ai/free/en/papers/wang-2023-far-camels-go-exploring-state/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.*2023 · 317 citations*

- [How Language Model Hallucinations Can Snowball arXiv:2305.13534](https://md.research.elamur.ai/free/en/papers/zhang-2023-language-model-hallucinations-snowball/) — Muru Zhang, Ofir Press, William Merrill, et al. · 2023 · 226 citations
- [Fine-Grained Human Feedback Gives Better Rewards for Language Model Training arXiv:2306.01693](https://md.research.elamur.ai/free/en/papers/wu-2023-fine-grained-human-feedback-gives/) — Zeqiu Wu, Yushi Hu, Weijia Shi, et al. · 2023 · 223 citations
- [Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 arXiv:2311.10702](https://md.research.elamur.ai/free/en/papers/ivison-2023-camels-changing-climate-enhancing-lm/) — Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al. · 2023 · 207 citations

**[Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2023 · 174 citations*

**[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alisa Liu, Zhaofeng Wu, Julian Michael, et al.*2023 · 110 citations*

- [In-context Pretraining: Language Modeling Beyond Document Boundaries arXiv:2310.10638](https://md.research.elamur.ai/free/en/papers/shi-2023-context-pretraining-language-modeling-document/) — Weijia Shi, Sewon Min, Maria Lomeli, et al. · 2023 · 61 citations

**[Morphosyntactic probing of multilingual BERT models](https://md.research.elamur.ai/free/en/papers/acs-2023-morphosyntactic-probing-multilingual-bert-models/) [Natural Language Engineering](https://md.research.elamur.ai/free/en/venues/natural-language-engineering/)**Judit Acs, Endre Hamerlik, Roy Schwartz, et al.*2023 · 26 citations*