--- title: "Who cites Arthur Mensch — page 4" description: "3,875 papers of the Elamur Research library cite the works of Arthur Mensch, found in their bibliographies · page 4 of 4 · 301–320; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/4/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Arthur Mensch](https://md.research.elamur.ai/free/en/authors/arthur-mensch/) / [cited by](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/) / page 4 # Who cites Arthur Mensch 4,216 citations of their works from 3,875 papers of our library (of the 140,884 whose bibliographies we read) · 320 with a page here, the most cited first · page 4 of 4 · 301–320 · [← Arthur Mensch](https://md.research.elamur.ai/free/en/authors/arthur-mensch/) [← prev](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/3/) **4** 301. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/) 302. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) 303. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) 304. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/) 305. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/) 306. [**IndigiEval: Evaluating LLMs in North American Indigenous Languages**Julia Mainzinger, Jacqueline Brixey*2026*](https://md.research.elamur.ai/free/en/papers/mainzinger-2026-indigieval-evaluating-llms-north-american/) 307. [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/) 308. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/) 309. [**MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/) 310. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/) 311. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/) 312. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/) 313. [**TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/) 314. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/) 315. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/) 316. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) 317. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/) 318. [**Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques**Lang Xiong, Raina Gao, Alyssa Jeong*2025*](https://md.research.elamur.ai/free/en/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/) 319. [**On the importance of Data Scale in Pretraining Arabic Language Models**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/) 320. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/) [← prev](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/arthur-mensch/cited-by/page/3/) **4** 3,555 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/arthur-mensch/) — Arthur Mensch