---
title: "Who cites From Curated Data to Scalable — 1 citing paper"
description: "1 paper of the Elamur Research library cite «From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large…"
canonical: "https://research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [From Curated Data to Scalable Models: Continual…](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/) / cited by

# Who cites «From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan»](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/)

1. **[From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-insight-action-novel-framework-interpretability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/) — From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan