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Who cites Jared Kaplan

19,286 citations of their works from 15,255 papers of our library (of the 140,884 whose bibliographies we read) · 1,035 with a page here, the most cited first · page 11 of 11 · 1001–1035 · ← Jared Kaplan

1 … 10 11

  1. MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel DetectionDavid M. Smiley2026
  2. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationZhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
  3. MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and GenerationKrishna Tewari, Supriya Chanda, Nirmit Patil, et al.2026
  4. MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African LanguagesAnri M. Lombard, Simbarashe Mawere, Temi Aina, et al.2026
  5. NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceMatheus Westhelle, Viviane Moreira2026
  6. Obscuring Data Contamination Through Translation: Evidence from Arabic CorporaChaymaa Abbas, Nour Shamaa, Mariette Awad2026
  7. On Temperature-Constrained Non-Deterministic Machine Translation: Potential and EvaluationWeichuan Wang, Mingyang Liu, Chen Ma, et al.2026
  8. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsGyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
  9. Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingKatsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
  10. Predict and Fix: A Unified Model for Translation Quality Estimation and Post-EditingMaciej Modrzejewski, Yash Bhaskar, Chinmay Pateria2026
  11. Quality and Appropriateness of Large Text Datasets for Irish NLPAbigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.2026
  12. Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and ResponsesDuc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.2026
  13. Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment AnalysisLe-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.2026
  14. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
  15. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsOmar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
  16. Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026
  17. Supervised Contrastive Fine-Tuning for Active Few-Shot LearningZirui Zhang, Lei Ge, Shengyu Qiao2026
  18. Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsHongyuan Adam Lu, Wai Lam2026
  19. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsNikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  20. “Decode the Law”: Towards Legal Text Simplification with Large Language ModelsMohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.2026
  21. ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text DetectionAli Khairallah, Arkaitz Zubiaga2025
  22. 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
  23. 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
  24. NeoDictaBERT: Pushing the Frontier of BERT models for HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2025
  25. Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource TaskMaged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad2025
  26. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025
  27. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025
  28. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025
  29. 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
  30. 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
  31. 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
  32. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024
  33. On the importance of Data Scale in Pretraining Arabic Language ModelsAbbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  34. Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)Xuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.2024
  35. 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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