---
title: "Who cites Valentin Hofmann"
description: "327 papers of the Elamur Research library cite the works of Valentin Hofmann, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/valentin-hofmann/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/valentin-hofmann/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Valentin Hofmann](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/) / cited by

# Who cites Valentin Hofmann

363 citations of their works from 327 papers of our library (of the 140,884 whose bibliographies we read) · 32 with a page here, the most cited first · [← Valentin Hofmann](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/)

1. [**The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale**Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.*2024 · 404 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2024-fineweb-datasets-decanting-web-finest/)
2. [**RedPajama: an Open Dataset for Training Large Language Models**Maurice Weber, Daniel Fu, Quentin Anthony, et al.*2024 · 247 citations*](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)
3. [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/)
4. [**Language Model Tokenizers Introduce Unfairness Between Languages**Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2023-language-model-tokenizers-introduce-unfairness/)
5. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
6. [**Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP**Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/)
7. [**Tokenization Is More Than Compression**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/)
8. [**Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges**Bolei Ma, Yuting Li, Wei Zhou, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-pragmatics-era-large-language-models/)
9. [**Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model**Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/)
10. [**Construction Grammar Provides Unique Insight into Neural Language Models**Leonie Weissweiler, Taiqi He, Naoki Otani, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/)
11. [**A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models**Claire Bonial, Harish Tayyar Madabushi*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/bonial-2024-construction-grammar-corpus-varying-schematicity/)
12. [**Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models**Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/rambelli-2023-are-frequent-phrases-directly-retrieved/)
13. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
14. [**Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation**Dominik Glandorf, Detmar Meurers*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/glandorf-2024-fine-grained-pedagogical-control-over/)
15. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
16. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/)
17. [**You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings**Lara Verheyen, Jonas Doumen, Paul Van Eecke, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/)
18. [**Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)
19. [**Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs**Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-borders-evaluating-root-pattern/)
20. [**Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs**Yara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-without-borders-evaluating-root/)
21. [**Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs**Ansar Aynetdinov, Alan Akbik*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2025-babies-learn-look-ahead-multi/)
22. [**Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development**Ko Yoshida, Daiki Shiono, Kai Sato, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/)
23. [**Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/)
24. [**Constructions All the Way Up: From Sensory Experiences to Construction Grammars**Jérôme Botoko Ekila, Lara Verheyen, Katrien Beuls, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ekila-2025-constructions-all-way-up-sensory/)
25. [**A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora**Paul Van Eecke, Katrien Beuls*2026*](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/)
26. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
27. [**Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/)
28. [**Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/)
29. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
30. [**R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models**Julian Schelb, Orr Borin, David Garcia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/)
31. [**Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMs**Mai Mohamed Eida, Ryan Dolan, Paul de Nijs, et al.*2026*](https://md.research.elamur.ai/free/en/papers/eida-2026-some-dialects-more-equal-than/)
32. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)

295 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/) — Valentin Hofmann