🧑‍🔬 Who cites Lior Wolf

440 citations of their works from 437 papers of our library (of the 149,439 whose bibliographies we read) · 67 with a page here, the most cited first · ← Lior Wolf

1. Attention Is All You NeedarXiv:1706.03762Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.2017 · 17,458 citations
2. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
3. SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,616 citations
4. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
5. A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304Romain Paulus, Caiming Xiong, Richard Socher2017 · 1,657 citations
6. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
7. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
8. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
9. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
10. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
11. Marian: Fast Neural Machine Translation in C++arXiv:1804.00344Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, et al.2018 · 507 citations
12. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
13. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
14. Are All Languages Created Equal in Multilingual BERT?Workshop on Representation Learning for NLPShijie Wu, Mark Dredze2020 · 460 citations
15. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
16. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
17. Tying Word Vectors and Word Classifiers: A Loss Framework for Language ModelingarXiv:1611.01462Hakan Inan, Khashayar Khosravi, Richard Socher2016 · 414 citations
18. Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Urvashi Khandelwal, He He, Peng Qi, et al.2018 · 399 citations
19. Emerging Cross-lingual Structure in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Conneau, Shijie Wu, Haoran Li, et al.2020 · 382 citations
20. JW300: A Wide-Coverage Parallel Corpus for Low-Resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Željko Agić, Ivan Vulić2019 · 374 citations
21. Unsupervised Domain Clusters in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2020 · 330 citations
22. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 322 citations
23. Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Ori Ram, Regina Barzilay, et al.2019 · 298 citations
24. Cloze-driven Pretraining of Self-attention NetworksarXiv:1903.07785Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.2019 · 286 citations
25. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringarXiv:1911.10470Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 280 citations
26. The Importance of Being Recurrent for Modeling Hierarchical StructureConference on Empirical Methods in Natural Language Processing (EMNLP)Ke Tran, Arianna Bisazza, Christof Monz2018 · 228 citations
27. MTNT: A Testbed for Machine Translation of Noisy TextConference on Empirical Methods in Natural Language Processing (EMNLP)Paul Michel, Graham Neubig2018 · 227 citations
28. Probing the Need for Visual Context in Multimodal Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.2019 · 217 citations
29. 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
30. Compound Probabilistic Context-Free Grammars for Grammar InductionAnnual Meeting of the Association for Computational Linguistics (ACL)Yoon Kim, Chris Dyer, Alexander Rush2019 · 201 citations
31. Jointly Learning to Align and Translate with Transformer ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.2019 · 199 citations
32. Transformers without Tears: Improving the Normalization of Self-AttentionarXiv:1910.05895Toan Q. Nguyen, Julian Salazar2019 · 189 citations
33. Representation Degeneration Problem in Training Natural Language Generation ModelsarXiv:1907.12009Jun Gao, Di He, Xu Tan, et al.2019 · 181 citations
34. Adaptive Input Representations for Neural Language ModelingarXiv:1809.10853Alexei Baevski, Michael Auli2018 · 177 citations
35. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
36. Unsupervised Opinion Summarization as Copycat-Review GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Arthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 173 citations
37. Extreme Adaptation for Personalized Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Michel, Graham Neubig2018 · 161 citations
38. Jamba: A Hybrid Transformer-Mamba Language ModelarXiv:2403.19887Opher Lieber, Barak Lenz, Hofit Bata, et al.2024 · 159 citations
39. Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuebo Liu, Houtim Lai, Derek F. Wong, et al.2020 · 158 citations
40. Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?Conference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Vulić, Goran Glavaš, Roi Reichart, et al.2019 · 157 citations
41. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations
42. Rethinking embedding coupling in pre-trained language modelsarXiv:2010.12821Hyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
43. Representing Numbers in NLP: a Survey and a VisionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Avijit Thawani, Jay Pujara, Filip Ilievski, et al.2021 · 139 citations
44. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationarXiv:2006.10369Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 134 citations
45. Analyzing Transformers in Embedding SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Guy Dar, Mor Geva, Ankit Gupta, et al.2023 · 130 citations
46. Document-level Neural MT: A Systematic ComparisonAnnual Conference of the European Association for Machine Translation (EAMT)António Lopes, M. Amin Farajian, Rachel Bawden, et al.2020 · 115 citations
47. On the Relation between Linguistic Typology and (Limitations of) Multilingual Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, et al.2018 · 113 citations
48. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
49. Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic SimilarityComputational LinguisticsIvan Vulić, Simon Baker, Edoardo Maria Ponti, et al.2020 · 106 citations
50. Findings of the WMT 2019 Shared Task on Automatic Post-EditingConference on Machine Translation (WMT)Rajen Chatterjee, Christian Federmann, Matteo Negri, et al.2019 · 102 citations
51. Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level PredictionTransactions of the Association for Computational Linguistics (TACL)Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.2018 · 82 citations
52. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations
53. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
54. Finding the Optimal Vocabulary Size for Neural Machine TranslationFindings of the Association for Computational LinguisticsThamme Gowda, Jonathan May2020 · 72 citations
55. Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary InductionEMNLP-IJCNLP 2019 (Hong Kong)Yova Kementchedjhieva, Mareike Hartmann, Anders Sgaard2019 · 53 citations
56. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
57. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
58. Coreference and Coherence in Neural Machine Translation: A Study Using Oracle ExperimentsConference on Machine Translation: Research PapersDario Stojanovski, Alexander Fraser2018 · 46 citations
59. Neural Lattice Language ModelsTransactions of the Association for Computational Linguistics (TACL)Jacob Buckman, Graham Neubig2018 · 35 citations
60. Locating and Editing Factual Associations in MambaarXiv:2404.03646Arnab Sen Sharma, David Atkinson, David Bau2024 · 18 citations
61. Consonant is all you need: a compact representation of English text for efficient NLPFindings of the Association for Computational LinguisticsMaged S. Al-shaibani, Irfan Ahmad2023 · 6 citations
62. Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026 · 5 citations
63. Dotless Arabic Text for Natural Language ProcessingComputational LinguisticsMaged S. Al-Shaibani, Irfan Ahmad2025 · 3 citations
64. Dotless Representation of Arabic Text: Analysis and ModelingarXiv:2312.16104Maged S. Al-Shaibani, Irfan Ahmad2023 · 1 citation
65. AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchLanguage Resources and Evaluation Conference (LREC)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026
66. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
67. Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026

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