---
title: "Who cites Benchmarking Vision-Language — 5 citing papers"
description: "5 papers of the Elamur Research library cite «Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to…"
canonical: "https://research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Benchmarking Vision-Language Models on Chinese…](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/) / cited by

# Who cites «Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning»

5 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 «Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning»](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/)

1. **[Multi-Task Learning Trade-offs in Vision–Language Models for Ancient Chinese OCR: An Empirical Analysis of Parameter-Efficient Adaptation](https://md.research.elamur.ai/free/en/papers/shu-2026-multi-task-learning-trade-offs/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Yuhan Shu, Huizi Zhou*2026*
2. **[Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-overview-evahan2026-first-international-evaluation/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Dongbo Wang, Dongmei Zhu, Jieqiong Li, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/) — Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning