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Who cites Rose Wang

1,380 citations of their works from 1,357 papers of our library (of the 149,439 whose bibliographies we read) · 310 with a page here, the most cited first · page 4 of 4 · 301–310 · ← Rose Wang

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  1. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
  2. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  3. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  4. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  5. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  6. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  7. From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language ModelsWorkshop on Gender Bias in Natural Language ProcessingMelanie Galea, Claudia Borg2025
  8. The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic TextInternational Conference on Natural Language and Speech ProcessingLubana Al Rayes, Ashraf Elnagar2025
  9. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024
  10. 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)Acta Automatica Sinica (自动化学报)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023

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