🔗 Who cites «Studying Large Language Model Generalization with Influence Functions»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← back to «Studying Large Language Model Generalization with Influence Functions»

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. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
3. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 178 citations
4. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
5. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
6. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
7. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
8. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
9. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
10. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
11. HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAnnual Meeting of the Association for Computational Linguistics (ACL)Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.2025 · 22 citations
12. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
13. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
14. Explainability and Interpretability of Multilingual Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Lucas Resck, Isabelle Augenstein, Anna Korhonen2025 · 11 citations
15. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
16. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuwei Zhang, Wenhao Yu, Shangbin Feng, et al.2026 · 4 citations
17. Learning to Optimize Multi-Objective Alignment Through Dynamic Reward WeightingTransactions of the Association for Computational Linguistics (TACL)Yining Lu, Zilong Wang, Shiyang Li, et al.2026 · 4 citations
18. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
19. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
20. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
21. Compact Example-Based Explanations for Language ModelsFindings of the Association for Computational LinguisticsLoris Schoenegger, Benjamin Roth2026
22. 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
23. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
24. Selective Span-Level Unlearning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaewon Yoon, Dongjun Kim, Hyun-Je Song2026
25. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026

54 more papers of our library cite it; they have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/grosse-2023-studying-large-language-model-generalization/cited-by/