---
title: "Who cites Deep Batch Active Learning by — 90 citing papers"
description: "90 papers of the Elamur Research library cite «Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep Batch Active Learning by Diverse, Uncertain…](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/) / cited by

# Who cites «Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds»

90 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds»](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/)

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. **[Imbalanced Gradients in RL Post-Training of Multi-Task LLMs](https://md.research.elamur.ai/free/en/papers/wu-2026-imbalanced-gradients-rl-post-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runzhe Wu, Ankur Samanta, Ayush Jain, et al.*2026 · 3 citations*
3. **[Active Generalized Category Discovery with Diverse LLM Feedback](https://md.research.elamur.ai/free/en/papers/zou-2026-active-generalized-category-discovery-diverse/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Henry Peng Zou, Siffi Singh, Yi Nian, et al.*2026 · 1 citation*
4. **[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*

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

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