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Who cites «Adam: A Method for Stochastic Optimization»

10,909 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1011 with a page here, the most cited first · page 11 of 11 · 1001–1011 · ← back to «Adam: A Method for Stochastic Optimization»

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  1. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  2. Who You Are, What You Say: Intra- and Inter- Context Personality for Emotion Recognition in ConversationFindings of the Association for Computational LinguisticsTazeek Bin Abdur Rakib, Lay-Ki Soon, Wern Han Lim2026
  3. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  4. Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)Journal of SoftwareYunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.2025
  5. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carearXiv:2406.15966Hassan Alhuzali, Ashwag Alasmari2024
  6. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  7. Barch: an English Dataset of Bar Chart SummariesLanguage Resources and Evaluation Conference (LREC)Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg2022
  8. BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic IdentificationarXiv:2106.12495Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.2021
  9. A Simple Global Neural Discourse ParserarXiv:2009.01312Yichu Zhou, Omri Koshorek, Vivek Srikumar, et al.2020
  10. Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency ParsingMohab Elkaref, Bernd Bohnet2019
  11. ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning MethodsInternational Workshop on Semantic Evaluation (SemEval)Zhenghang Yin, Feixiang Wang, Man Lan, et al.2018

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9,898 more papers of our library cite it; they have no page here yet.

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