---
title: "Who cites IMOL: — 8 citing papers — Elamur Research"
description: "8 papers of the Elamur Research library cite «IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection»…"
canonical: "https://research.elamur.ai/free/en/papers/zeng-2025-imol-incomplete-modality-tolerant-learning/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zeng-2025-imol-incomplete-modality-tolerant-learning/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [IMOL: Incomplete-Modality-Tolerant Learning for…](https://md.research.elamur.ai/free/en/papers/zeng-2025-imol-incomplete-modality-tolerant-learning/) / cited by

# Who cites «IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection»](https://md.research.elamur.ai/free/en/papers/zeng-2025-imol-incomplete-modality-tolerant-learning/)

1. **[Perception, Understanding and Reasoning: A Multimodal Benchmark for Video Fake News Detection](https://md.research.elamur.ai/free/en/papers/yakun-2026-perception-understanding-reasoning-multimodal-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cui Yakun, Peng Qi, Fushuo Huo, et al.*2026 · 3 citations*
2. **[Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification](https://md.research.elamur.ai/free/en/papers/zhang-2026-retrieving-recover-incomplete-audio-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayu Zhang, Shuo Ye, Qilang Ye, et al.*2026 · 2 citations*
3. **[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaolong Wei, Zerun Zhu, Simin Niu, et al.*2026 · 1 citation*
4. **[From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation Analysis](https://md.research.elamur.ai/free/en/papers/zeng-2026-detection-understanding-multi-turn-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Zeng, Jiaying Wu, Minnan Luo, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zeng-2025-imol-incomplete-modality-tolerant-learning/) — IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection
