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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) · 1123 with a page here, the most cited first · page 12 of 12 · 1101–1123 · ← back to «Adam: A Method for Stochastic Optimization»

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  1. Small Neural Networks as Models of Cross-Linguistic Speech PerceptionSociety for Computation in Linguistics (SCiL)Annika Shankwitz2026
  2. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
  3. Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Kei Moriyama, Kouta Nakayama, Yukino Baba2026
  4. The Development of Spectral and Temporal Encodings in Speech SoundsSociety for Computation in Linguistics (SCiL)Frank Lihui Tan, Youngah Do2026
  5. ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading ComprehensionConference on Computational Natural Language Learning (CoNLL)Nhi Thao Tran, Tien Le, Toan Pham, et al.2026
  6. Tracing Mathematical Proficiency Through Problem-Solving ProcessesFindings of the Association for Computational LinguisticsJungyang Park, Suho Kang, Jaewoo Park, et al.2026
  7. Tracing Relational Knowledge Recall in Large Language ModelsFindings of the Association for Computational LinguisticsNicholas Popovič, Michael Färber2026
  8. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
  9. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise SamplingFindings of the Association for Computational LinguisticsFei Wang, Li Shen, Liang Ding, et al.2026
  10. What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple ChannelsAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Yadavalli, Tiago Pimentel, Tamar I Regev, et al.2026
  11. 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
  12. 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
  13. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  14. 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
  15. DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children's Medical Disorders in English TweetsSocial Media Mining for Health Research and Applications Workshop and Shared TasksAzmine Toushik Wasi, Sheikh Rahman2024
  16. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carearXiv:2406.15966Hassan Alhuzali, Ashwag Alasmari2024
  17. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  18. Barch: an English Dataset of Bar Chart SummariesLanguage Resources and Evaluation Conference (LREC)Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg2022
  19. 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
  20. A Simple Global Neural Discourse ParserarXiv:2009.01312Yichu Zhou, Omri Koshorek, Vivek Srikumar, et al.2020
  21. Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency ParsingMohab Elkaref, Bernd Bohnet2019
  22. Algorithmes à base d'échantillonage pour l'entraînement de modèles de langue neuronaux (Here the title in English)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Matthieu Labeau, Alexandre Allauzen2018
  23. 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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9,786 more papers of our library cite it; they have no page here yet.

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