---
title: "Who cites CAFES: A Collaborative — 4 citing papers"
description: "4 papers of the Elamur Research library cite «CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring»…"
canonical: "https://research.elamur.ai/free/en/papers/su-2026-cafes-collaborative-multi-agent-framework/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CAFES: A Collaborative Multi-Agent Framework for…](https://md.research.elamur.ai/free/en/papers/su-2026-cafes-collaborative-multi-agent-framework/) / cited by

# Who cites «CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring»](https://md.research.elamur.ai/free/en/papers/su-2026-cafes-collaborative-multi-agent-framework/)

1. **[Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework](https://md.research.elamur.ai/free/en/papers/yan-2026-sculpting-vector-space-efficient-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Yan, Mingdong Ou, Yi Cao, et al.*2026 · 2 citations*
2. **[EduPulse: A Practical LLM-Enhanced Opinion Mining System for Vietnamese Student Feedback in Educational Platforms](https://md.research.elamur.ai/free/en/papers/nguyen-2026-edupulse-practical-llm-enhanced-opinion/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuan Phuc Nguyen, Xuan Phi Nguyen, Vinh Tiep Nguyen, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/su-2026-cafes-collaborative-multi-agent-framework/) — CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring