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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

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  1. Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine TranslationLu Xu, Luca Moroni, Roberto Navigli2026
  2. Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsSheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
  3. Evaluating Discriminability of Vision-Language ModelsMasayasu Muraoka, Naoaki Okazaki2026
  4. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsManuel Schaaf, Kevin Bönisch, Alexander Mehler2026
  5. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  6. IndigiEval: Evaluating LLMs in North American Indigenous LanguagesJulia Mainzinger, Jacqueline Brixey2026
  7. Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language ModelsNasser A Alsadhan2026
  8. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsEneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
  9. MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine TranslationParker Riley, Daniel Deutsch, Mara Finkelstein, et al.2026
  10. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesPaula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  11. Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language ModelsMakoto Takenaka, Hitomi Yanaka2026
  12. Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026
  13. TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech RecognitionChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.2026
  14. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsDuy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
  15. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  16. When Tables Go Crazy: Evaluating Multimodal Models on French Financial DocumentsVirginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.2026
  17. 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
  18. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
  19. On the importance of Data Scale in Pretraining Arabic Language ModelsAbbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  20. 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

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