activity
20192026
most citedPromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models

24 citations · 40 across the 19 of their papers we have counts for

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12 papers · 1 filter

cs.CL2025

Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore's Low-Resource Languages

Yujia Hu, Ming Shan Hee, Preslav Nakov +1

The advancement of Large Language Models (LLMs) has transformed natural language processing; however, their safety mechanisms remain under-explored in low-resource, multilingual se…

cs.CL2025

FRaN-X: FRaming and Narratives-eXplorer

Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani +21

We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-…

cs.CL2025

Shifting Long-Context LLMs Research from Input to Output

Yuhao Wu, Yushi Bai, Zhiqing Hu +4

Recent advancements in long-context Large Language Models (LLMs) have primarily concentrated on processing extended input contexts, resulting in significant strides in long-context…

cs.CL2025

Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions

Ming Shan Hee, Roy Ka-Wei Lee

Hateful meme detection presents a significant challenge as a multimodal task due to the complexity of interpreting implicit hate messages and contextual cues within memes. Previous…

cs.CL20241 cited

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

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

The widespread presence of hate speech on the internet, including formats such as text-based tweets and vision-language memes, poses a significant challenge to digital platform saf…

cs.CL2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

Yuhao Wu, Ming Shan Hee, Zhiqing Hu +1

Current benchmarks like Needle-in-a-Haystack (NIAH), Ruler, and Needlebench focus on models' ability to understand long-context input sequences but fail to capture a critical dimen…