---
title: "Who cites Haoliang Li — 32 papers of our library"
description: "32 papers of the Elamur Research library cite the works of Haoliang Li, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/haoliang-li/cited-by/"
---
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# Who cites Haoliang Li

32 citations of their works from 32 papers of our library (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← Haoliang Li](https://md.research.elamur.ai/free/en/authors/haoliang-li/)

1. **[Dynamic Routing Transformer Network for Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*
2. **[MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Libo Qin, Shijue Huang, Qiguang Chen, et al.*2023 · 65 citations*
3. **[Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tang-2024-leveraging-generative-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Binghao Tang, Boda Lin, Haolong Yan, et al.*2024 · 33 citations*
4. [**A Survey of Multimodal Sarcasm Detection arXiv:2410.18882**Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, et al.*2024 · 26 citations*](https://md.research.elamur.ai/free/en/papers/farabi-2024-survey-multimodal-sarcasm-detection/)
5. **[CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*
6. **[Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/jana-2024-continuous-attentive-multimodal-prompt-tuning/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam*2024 · 5 citations*
7. **[LLM Agents in Law: Taxonomy, Applications, and Challenges](https://md.research.elamur.ai/free/en/papers/liu-2026-llm-agents-law-taxonomy-applications/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuang Liu, Ruijia Zhang, Ruoyun Ma, et al.*2026 · 4 citations*
8. **[Incomplete In-context Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-incomplete-context-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqiang Wang, Wen Yujia, Yan Xiao, et al.*2026 · 2 citations*
9. **[Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-task-level-context-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianxin Zhang, Yilu Hu, Teng Liu, et al.*2026*
10. **[Domain-Specific Data Generation Framework for RAG Adaptation](https://md.research.elamur.ai/free/en/papers/tian-2026-domain-specific-data-generation-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chris Xing Tian, Weihao Xie, Zhen Chen, et al.*2026*

22 more citing papers of our library have no page here yet.

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