🧑‍🔬 Who cites Shai Shalev-Shwartz

216 citations of their works from 216 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← Shai Shalev-Shwartz

1. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
2. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersarXiv:2002.01808Ruize Wang, Duyu Tang, Nan Duan, et al.2020 · 666 citations
3. Entities as Experts: Sparse Memory Access with Entity SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP)Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.2020 · 208 citations
4. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
5. Knowledge Enhanced Masked Language Model for Stance DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kornraphop Kawintiranon, Lisa Singh2021 · 119 citations
6. Towards Generalizable Neuro-Symbolic Systems for Commonsense Question AnsweringProceedings of the First Workshop on Commonsense Inference in Natural Language ProcessingKaixin Ma, Jonathan Francis, Quanyang Lu, et al.2019 · 105 citations
7. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
8. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
9. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
10. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
11. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
12. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
13. Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsComputational LinguisticsJanosch Haber, Massimo Poesio2024 · 44 citations
14. Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Sander Land, Max Bartolo2024 · 42 citations
15. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
16. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
17. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
18. The Hidden Attention of Mamba ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ameen Ali Ali, Itamar Zimerman, Lior Wolf2025 · 32 citations
19. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
20. Jamba-1.5: Hybrid Transformer-Mamba Models at ScalearXiv:2408.12570Jamba Team: Barak Lenz, Alan Arazi, Amir Bergman, et al.2024 · 30 citations
21. RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)Annual Meeting of the Association for Computational Linguistics (ACL)Sean Trott, Benjamin Bergen2021 · 29 citations
22. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
23. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
24. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
25. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
26. Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense DisambiguationInternational Workshop on Semantic Evaluation (SemEval)Niloofar Ranjbar, Hossein Zeinali2021 · 4 citations
27. GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version IncompatibilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Diganta Misra, Nizar Islah, Victor May, et al.2026 · 2 citations
28. Can Models Help Us Create Better Models? Evaluating LLMs as Data ScientistsFindings of the Association for Computational LinguisticsMichał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz, et al.2026 · 1 citation
29. FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Mahdi Moradi, Walid Ahmed, Shuangyue Wen, et al.2026
30. XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake DetectionFindings of the Association for Computational LinguisticsKwok-Ho Ng, Tingting Song, Yongdong WU, et al.2026
31. Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexiconCOLING 2025 (Abu Dhabi)Nicolas Angleraud, Lucie Barque, Marie Candito2025

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