---
title: "Who cites EMO: Embedding Model Distillation — 8 citing papers"
description: "8 papers of the Elamur Research library cite «EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport…"
canonical: "https://research.elamur.ai/free/en/papers/truong-2025-emo-embedding-model-distillation-intra/cited-by/"
---
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# Who cites «EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments»

8 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 «EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments»](https://md.research.elamur.ai/free/en/papers/truong-2025-emo-embedding-model-distillation-intra/)

1. **[LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations](https://md.research.elamur.ai/free/en/papers/vujanic-2026-leaf-knowledge-distillation-text-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Robin Vujanic, Thomas Rückstieß*2026 · 2 citations*
2. **[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.*2026*
3. **[MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents](https://md.research.elamur.ai/free/en/papers/van-2026-memorai-memory-organization-retrieval-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/truong-2025-emo-embedding-model-distillation-intra/) — EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments