---
title: "Who cites Phillip Rust — page 2 — 455 papers of our library"
description: "455 papers of the Elamur Research library cite the works of Phillip Rust, found in their bibliographies · page 2 of 2 · 101–138; the most cited first."
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# Who cites Phillip Rust

458 citations of their works from 455 papers of our library (of the 149,439 whose bibliographies we read) · 138 with a page here, the most cited first · page 2 of 2 · 101–138 · [← Phillip Rust](https://md.research.elamur.ai/free/en/authors/phillip-rust/)

[← prev](https://md.research.elamur.ai/free/en/authors/phillip-rust/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/phillip-rust/cited-by/) **2**

101. **[A multilingual hallucination benchmark](https://md.research.elamur.ai/free/en/papers/thoresen-2026-multilingual-hallucination-benchmark/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Freja Thoresen, Dan Saattrup Smart*2026*
102. **[Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility](https://md.research.elamur.ai/free/en/papers/palta-2026-arguments-that-alter-minds-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shramay Palta, Peter A. Rankel, Sarah Wiegreffe, et al.*2026*
103. [**Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models arXiv:2609.16006**Enes Altinisik, Hamdy Mubarak, Masoomali Fatehkia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/altinisik-2026-cultural-knowledge-evaluating-arabic-cultural/)
104. **[BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories](https://md.research.elamur.ai/free/en/papers/ouyang-2026-biasedtales-ml-multilingual-dataset-analyzing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Ouyang, Yingfeng Luo, JingBo Zhu, et al.*2026*
105. **[Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning](https://md.research.elamur.ai/free/en/papers/thompson-2026-bringing-mapudungun-into-modern-mt/) [Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)](https://md.research.elamur.ai/free/en/venues/americasnlp/)**Isaac Thompson, Brandon Rogers, Eric Ringger*2026*
106. **[Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory](https://md.research.elamur.ai/free/en/papers/pothugunta-2026-carefully-considering-culture-analyzing-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Krishna Pothugunta, John P. Lalor*2026*
107. **[Challenging the Myth: A Research Arc on LLMs as Human Simulacra](https://md.research.elamur.ai/free/en/papers/munker-2026-challenging-myth-research-arc-llms/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Simon Münker, Achim Rettinger, Damian Trilling*2026*
108. **[Common to Whom? Regional Cultural Commonsense and LLM Bias in India](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-common-whom-regional-cultural-commonsense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.*2026*
109. **[Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication Theory](https://md.research.elamur.ai/free/en/papers/nejadgholi-2026-defining-cultural-capabilities-ai-evaluation/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Isar Nejadgholi, Masoud Kianpour, Krishnapriya Vishnubhotla, et al.*2026*
110. [**Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya**Hailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-expanding-lexicon-ge-ez-based/)
111. **[Global vs. Local Sentence Embeddings for Brazilian Portuguese: Revisiting Monolingual Models in the Age of Foundation Models](https://md.research.elamur.ai/free/en/papers/peixoto-2026-global-vs-local-sentence-embeddings/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Matheus Peixoto, Guilherme Silva, Giacomo Figueredo, et al.*2026*
112. **[HACS-TL: Cross-Script Transfer Learning for Hausa Ajami Hate Speech Detection Using Transformer-Based Architecture](https://md.research.elamur.ai/free/en/papers/bichi-2026-hacs-tl-cross-script-transfer/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Abdulkadir Shehu Bichi, Muqaddar Ali, Prashant Sharma, et al.*2026*
113. [**HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication arXiv:2609.20684**Hassan Saeed Hassan Albattra, Mazen Mohammed Bahgat, Rahatara Ferdousi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/albattra-2026-herhealtheval-evaluating-multilingual-register-sensitive/)
114. [**How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arXiv:2604.04204**Mir Tafseer Nayeem, Davood Rafiei*2026*](https://md.research.elamur.ai/free/en/papers/nayeem-2026-english-us-become-default-triangulating/)
115. **[LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*
116. **[LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction](https://md.research.elamur.ai/free/en/papers/tonga-2026-llms-as-cultural-archives-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, et al.*2026*
117. **[Mitigating Tokenization-Induced Distance Distortion in Long-Context Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/selialia-2026-mitigating-tokenization-induced-distance-distortion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Khotso Selialia, Antoine Nzeyimana, Fatima M. Anwar*2026*
118. **[MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions](https://md.research.elamur.ai/free/en/papers/minggad-2026-monculture-eval-hierarchical-benchmark-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Quulgan Minggad, Xiao Zinan, Yuan Sun*2026*
119. **[MUTANT: A Recipe for Multilingual Tokenizer Design](https://md.research.elamur.ai/free/en/papers/rana-2026-mutant-recipe-multilingual-tokenizer-design/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.*2026*
120. **[Nanda Family: Open-Weights Generative Large Language Models for Hindi](https://md.research.elamur.ai/free/en/papers/singh-2026-nanda-family-open-weights-generative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.*2026*
121. **[Next Reply Prediction X (NRP-X) Dataset: Linguistic Discrepancies in Naively Generated Content](https://md.research.elamur.ai/free/en/papers/munker-2026-next-reply-prediction-x-nrp/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Simon Münker, Nils Schwager, Kai Kugler, et al.*2026*
122. **[PortOldBERT: Portuguese Historical Language Models](https://md.research.elamur.ai/free/en/papers/osorio-2026-portoldbert-portuguese-historical-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tomas Freitas Osorio, Henrique Lopes Cardoso*2026*
123. **[Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference](https://md.research.elamur.ai/free/en/papers/lyu-2026-privacy-risks-intermediate-representations-attribute/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Lyu, Jin Cao, Yang Xiao, et al.*2026*
124. [**SDUs DAISY: A Benchmark for Danish Culture arXiv:2601.19930**Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nielsen-2026-sdus-daisy-benchmark-danish-culture/)
125. **[Sentiment Analysis and Language Models for Kwanyama](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ndapa Nakashole*2026*
126. **[Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AI](https://md.research.elamur.ai/free/en/papers/nezhad-2026-signals-are-not-states-neuro/) [Workshop on Stereotypes Across Cultures in Language Technologies](https://md.research.elamur.ai/free/en/venues/stereacult/)**Bagheri Nezhad, Sina*2026*
127. **[Smelling the Past: Investigating Historical Models for Olfactory Event Extraction](https://md.research.elamur.ai/free/en/papers/paccosi-2026-smelling-past-investigating-historical-models/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Teresa Paccosi, Marijn Koolen*2026*
128. **[Stereotyped by Silence: How LLMs Erase Northeast Indian Languages Through Omission and Orthographic Corruption](https://md.research.elamur.ai/free/en/papers/nyalang-2026-stereotyped-silence-how-llms-erase/) [Workshop on Stereotypes Across Cultures in Language Technologies](https://md.research.elamur.ai/free/en/venues/stereacult/)**Badal Nyalang*2026*
129. **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*
130. [**The African Language Tax: Quantifying the Cost, Latency, and Context Penalty of Tokenizing African Languages in Frontier LLMs arXiv:2606.24460**Olaoye Anthony Somide*2026*](https://md.research.elamur.ai/free/en/papers/somide-2026-african-language-tax-quantifying-cost/)
131. **[The American Palimpsest: Quantifying South Asian English Dialect Erasure in LLMs](https://md.research.elamur.ai/free/en/papers/bharati-2026-american-palimpsest-quantifying-south-asian/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Soumedhik Bharati, Shibam Mandal, Swarup Kr Ghosh, et al.*2026*
132. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*
133. **[The Multilingual Curse at the Retrieval Layer: Evidence from Amharic](https://md.research.elamur.ai/free/en/papers/alemneh-2026-multilingual-curse-retrieval-layer-evidence/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Yosef Worku Alemneh, Kidist Amde Mekonnen, Maarten de Rijke*2026*
134. **[TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages](https://md.research.elamur.ai/free/en/papers/varis-2026-tokcollate-comprehensive-tool-tokenizer-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dušan Variš, Abishek Stephen, Jindřich Libovický*2026*
135. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
136. **[“Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across Languages](https://md.research.elamur.ai/free/en/papers/nair-2026-sorry-can-t-help-you/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Pavithra P M Nair, Gilad Gressel, Krishnashree Achuthan*2026*
137. [**DeformAr: Rethinking NER Evaluation through Component Analysis and Visual Analytics arXiv:2512.00938**Ahmed Mustafa Younes*2025*](https://md.research.elamur.ai/free/en/papers/younes-2025-deformar-rethinking-ner-evaluation-through/)
138. **[Nojoom.AI at AraGenEval Shared Task: Arabic Authorship Style Transfer](https://md.research.elamur.ai/free/en/papers/achira-2025-nojoom-ai-arageneval-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hafsa Kara Achira, Mourad Bouache, Mourad Dahmane*2025*

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