[HTML][HTML] A literature review of textual hate speech detection methods and datasets
F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …
communities. Hate speech is complex and multifaceted harmful or offensive content …
Regulating ChatGPT and other large generative AI models
P Hacker, A Engel, M Mauer - Proceedings of the 2023 ACM Conference …, 2023 - dl.acm.org
Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are
rapidly transforming the way we communicate, illustrate, and create. However, AI regulation …
rapidly transforming the way we communicate, illustrate, and create. However, AI regulation …
Octopack: Instruction tuning code large language models
Finetuning large language models (LLMs) on instructions leads to vast performance
improvements on natural language tasks. We apply instruction tuning using code …
improvements on natural language tasks. We apply instruction tuning using code …
Are multimodal transformers robust to missing modality?
Multimodal data collected from the real world are often imperfect due to missing modalities.
Therefore multimodal models that are robust against modal-incomplete data are highly …
Therefore multimodal models that are robust against modal-incomplete data are highly …
Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models
State-of-the-art Text-to-Image models like Stable Diffusion and DALLE\cdot2 are
revolutionizing how people generate visual content. At the same time, society has serious …
revolutionizing how people generate visual content. At the same time, society has serious …
Look before you leap: An exploratory study of uncertainty measurement for large language models
The recent performance leap of Large Language Models (LLMs) opens up new
opportunities across numerous industrial applications and domains. However, erroneous …
opportunities across numerous industrial applications and domains. However, erroneous …
Generative representational instruction tuning
All text-based language problems can be reduced to either generation or embedding.
Current models only perform well at one or the other. We introduce generative …
Current models only perform well at one or the other. We introduce generative …
Detecting and understanding harmful memes: A survey
The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
Memecap: A dataset for captioning and interpreting memes
Memes are a widely popular tool for web users to express their thoughts using visual
metaphors. Understanding memes requires recognizing and interpreting visual metaphors …
metaphors. Understanding memes requires recognizing and interpreting visual metaphors …
On the evolution of (hateful) memes by means of multimodal contrastive learning
The dissemination of hateful memes online has adverse effects on social media platforms
and the real world. Detecting hateful memes is challenging, one of the reasons being the …
and the real world. Detecting hateful memes is challenging, one of the reasons being the …