🧑‍🔬 Who cites Satyen Kale

221 citations of their works from 221 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Satyen Kale

1. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
2. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
3. Contextual Parameter Generation for Universal Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.2018 · 206 citations
4. What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationarXiv:2008.03703Vitaly Feldman, Chiyuan Zhang2020 · 193 citations
5. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 178 citations
6. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 163 citations
7. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
8. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
9. discopy: A Neural System for Shallow Discourse ParsingWorkshop on Computational Approaches to Discourse (CODI)René Knaebel2021 · 23 citations
10. Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
11. Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational SystemsFindings of the Association for Computational LinguisticsMauajama Firdaus, Priyanshu Priya, Asif Ekbal2023 · 2 citations
12. Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient OrganizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jia Liu, Jiaxin Luo, Weiwen Xu, et al.2026 · 1 citation
13. Data Efficient RLVR via Off-Policy Influence GuidanceAnnual Meeting of the Association for Computational Linguistics (ACL)Erle Zhu, Dazhi Jiang, Yuan Wang, et al.2026
14. Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational RecommendationFindings of the Association for Computational LinguisticsHyeongjun Yang, Donghyun Kim, Seokju Hwang, et al.2026
15. Training data generation for context-dependent rubric-based short answer gradingLeveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LRECPavel Šindelář, Filip Prášil, Dávid Slivka, et al.2026

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