---
title: "Who cites Simfluence: Modeling the — 26 citing papers"
description: "26 papers of the Elamur Research library cite «Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training…"
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# Who cites «Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs»](https://md.research.elamur.ai/free/en/papers/guu-2023-simfluence-modeling-influence-individual-training/)

1. **[DataComp: In search of the next generation of multimodal datasets](https://md.research.elamur.ai/free/en/papers/gadre-2023-datacomp-search-next-generation-multimodal/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.*2023 · 224 citations*
2. [**LESS: Selecting Influential Data for Targeted Instruction Tuning arXiv:2402.04333**Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.*2024 · 178 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/)
3. [**Studying Large Language Model Generalization with Influence Functions arXiv:2308.03296**Roger Grosse, Juhan Bae, Cem Anil, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/grosse-2023-studying-large-language-model-generalization/)
4. **[Do Language Models Know When They're Hallucinating References?](https://md.research.elamur.ai/free/en/papers/agrawal-2023-language-models-know-they/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ayush Agrawal; Mirac Suzgun; Lester Mackey;, Adam Tauman Kalai*2023 · 92 citations*
5. [**What's In My Big Data? arXiv:2310.20707**Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/elazar-2023-s-my-big-data/)
6. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
7. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/)
8. [**How to Train Data-Efficient LLMs arXiv:2402.09668**Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/sachdeva-2024-train-data-efficient-llms/)
9. **[DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models](https://md.research.elamur.ai/free/en/papers/wu-2026-dose-data-selection-multi-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biao Wu, Yiwu Zhong, Meng Fang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/guu-2023-simfluence-modeling-influence-individual-training/) — Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs