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Who cites Benjamin Mann

10,897 citations of their works from 10,827 papers of our library (of the 140,884 whose bibliographies we read) · 816 with a page here, the most cited first · page 9 of 9 · 801–816 · ← Benjamin Mann

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  1. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsOmar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
  2. Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026
  3. Supervised Contrastive Fine-Tuning for Active Few-Shot LearningZirui Zhang, Lei Ge, Shengyu Qiao2026
  4. Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsHongyuan Adam Lu, Wai Lam2026
  5. “Decode the Law”: Towards Legal Text Simplification with Large Language ModelsMohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.2026
  6. ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text DetectionAli Khairallah, Arkaitz Zubiaga2025
  7. An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)Zhengfei Xu (徐正斐), Xin Xin (辛欣)2025
  8. 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
  9. NeoDictaBERT: Pushing the Frontier of BERT models for HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2025
  10. Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource TaskMaged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad2025
  11. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
  12. Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)荒沢康平, 狩野芳伸2024
  13. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  14. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024
  15. On the importance of Data Scale in Pretraining Arabic Language ModelsAbbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  16. 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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