Ming Shan Hee

According to our database, Ming Shan Hee authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.

Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee

CoRR, 2024

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore.

Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

CoRR, 2024

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models.

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee

CoRR, 2024

Contrastive Disentanglement for Authorship Attribution.

Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun-Wei Seah, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Brinjal: A Web-Plugin for Collaborative Hate Speech Detection.

Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Understanding (Dark) Humour with Internet Meme Analysis.

Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models.

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning.

Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore.

Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee

Proceedings of the 14th Conference on ACM Multimedia Systems, 2023

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models.

Nirmalendu Prakash, Han Wang, Nguyen-Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MATK: The Meme Analytical Tool Kit.

Ming Shan Hee, Aditi Kumaresan, Nguyen-Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection.

Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation.

Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Decoding the Underlying Meaning of Multimodal Hateful Memes.

Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Prompting Large Language Models for Topic Modeling.

Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023

2022

On Explaining Multimodal Hateful Meme Detection Models.

Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2018

Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks.

Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018