Who cites «On the Diversity of Synthetic Data and its Impact on Training Large Language Models»
- Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
- Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Yinuo Xu, Veronica Derricks, Allison Earl, et al.2026 · 1 citation
- Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
- Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data SynthesisConference of the European Chapter of the Association for Computational Linguistics (EACL)Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.2026
- Data Pollination: An Emergent Ecological Process Driving AI Population EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Shufang Xie, Qizhi Pei, Ang Lv, et al.2026
- One Joke to Rule them All? On the (Im)possibility of Generalizing Humor DetectionWorkshop on Computational HumorMor Turgeman, Chen Shani, Dafna Shahaf2026
- Synthetic Data Generation for Training Diversified Commonsense Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianhui Zhang, Bei Peng, Danushka Bollegala2026
- The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language ModelsarXiv:2602.01161Reem I. Masoud, Chen Feng, Shunta Asano, et al.2026
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