---
title: "Who cites ActiveLLM: Large Language — 7 citing papers"
description: "7 papers of the Elamur Research library cite «ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios»…"
canonical: "https://research.elamur.ai/free/en/papers/bayer-2026-activellm-large-language-model-based/cited-by/"
---
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# Who cites «ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios»](https://md.research.elamur.ai/free/en/papers/bayer-2026-activellm-large-language-model-based/)

1. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.*2025 · 22 citations*
2. **[Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey](https://md.research.elamur.ai/free/en/papers/romberg-2026-reassessing-active-learning-adoption-contemporary/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Julia Romberg, Christopher Schröder, Julius Gonsior, et al.*2026 · 1 citation*
3. **[LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://md.research.elamur.ai/free/en/papers/lu-2026-llms-now-fine-tuning-later/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bayer-2026-activellm-large-language-model-based/) — ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios