24 citations · 40 across the 19 of their papers we have counts for
12 papers · 1 filter
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…
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-…
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…
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…
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…
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…