---
title: "Who cites Team Oryu@CHiPSAL 2026: — 2 citing papers"
description: "2 papers of the Elamur Research library cite «Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate…"
canonical: "https://research.elamur.ai/free/en/papers/orny-2026-team-oryu-chipsal-2026-integrating/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Team Oryu@CHiPSAL 2026: Integrating Text and…](https://md.research.elamur.ai/free/en/papers/orny-2026-team-oryu-chipsal-2026-integrating/) / cited by

# Who cites «Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in Memes»

2 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 «Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in Memes»](https://md.research.elamur.ai/free/en/papers/orny-2026-team-oryu-chipsal-2026-integrating/)

1. **[Findings of the Second Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2026)](https://md.research.elamur.ai/free/en/papers/sarveswaran-2026-findings-second-workshop-challenges-processing/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Kengatharaiyer Sarveswaran, Surendrabikram Thapa, Ashwini Vaidya, et al.*2026 · 12 citations*
2. **[Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-being](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-hate-sentiment-understanding-low/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Surendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah, et al.*2026 · 12 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/orny-2026-team-oryu-chipsal-2026-integrating/) — Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in Memes
