🧑‍🔬 Who cites Amjad Almahairi

350 citations of their works from 350 papers of our library (of the 141,840 whose bibliographies we read) · 32 with a page here, the most cited first · ← Amjad Almahairi

1. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,400 citations
2. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,782 citations
3. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,618 citations
4. The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesarXiv:1611.00712Chris J. Maddison, Andriy Mnih, Yee Whye Teh2016 · 1,573 citations
5. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,481 citations
   Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 644 citations
   Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmConference on Empirical Methods in Natural Language Processing (EMNLP)Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.2017 · 621 citations
   DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisInternational Workshop on Semantic Evaluation (SemEval)Christos Baziotis, Nikos Pelekis, Christos Doulkeridis2017 · 588 citations
   Cross-Sentence N-ary Relation Extraction with Graph LSTMsTransactions of the Association for Computational Linguistics (TACL)Nanyun Peng, Hoifung Poon, Chris Quirk, et al.2017 · 554 citations
   EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Abdul-Mageed, Lyle Ungar2017 · 487 citations
   A Character-level Decoder without Explicit Segmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Junyoung Chung, Kyunghyun Cho, Yoshua Bengio2016 · 411 citations
   LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 399 citations
   Neural Paraphrase Generation with Stacked Residual LSTM NetworksInternational Conference on Computational Linguistics (COLING)Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al.2016 · 336 citations
6. An Actor-Critic Algorithm for Sequence PredictionarXiv:1607.07086Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.2016 · 323 citations
7. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
8. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
   Charagram: Embedding Words and Sentences via Character n-gramsConference on Empirical Methods in Natural Language Processing (EMNLP)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2016 · 241 citations
9. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
   Nematus: a Toolkit for Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.2017 · 206 citations
   DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 202 citations
10. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
11. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
    AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 132 citations
12. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 128 citations
    BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 101 citations
    TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesArabic Natural Language Processing Conference (ArabicNLP)Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
    Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Ting Liu, Yiming Cui, Qingyu Yin, et al.2017 · 37 citations
13. Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech TaggingHassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.2017 · 26 citations
14. Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource SettingsPamela Shapiro, Kevin Duh2018 · 25 citations
15. Amharic-Arabic Neural Machine TranslationarXiv:1912.13161Ibrahim Gashaw, H L Shashirekha2019 · 12 citations
    Recognizing Textual Entailment in Twitter Using Word EmbeddingsWorkshop on Evaluating Vector Space Representations for NLPOctavia-Maria Şulea2017 · 7 citations
16. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026

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