Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

Paraphrasing of offensive content is a better alternative to content removal and helps
improve civility in a communication environment. Supervised paraphrasers; however, rely …

With the ubiquity of Large Language Models (LLMs), guardrails have become crucial to
detect and defend against toxic content. However, with the increasing pervasiveness of …

Ensuring robust safety measures across a wide range of scenarios is crucial for user-facing
systems. While Large Language Models (LLMs) can generate valuable data for safety …

When assisting people in daily tasks, robots need to accurately interpret visual cues and
respond effectively in diverse safety-critical situations, such as sharp objects on the floor. In …

Multilingual large language models (MLLMs) leverage advanced large language models to
process and respond to queries across multiple languages, achieving significant success in …

Counterspeech can be an effective method for battling hateful content on social media.
Automated counterspeech generation can aid in this process. Generated counterspeech …

Content moderation is critical for maintaining healthy online spaces. However, it remains a
predominantly manual task. Moderators are often exhausted by low moderator-to-posts ratio …

Despite recent advancements, NLP models continue to be vulnerable to bias. This bias often
originates from the uneven distribution of real-world data and can propagate through the …

Online Social Networks (OSNs) rely on content moderation systems to ensure platform and
user safety by preventing malicious activities, like the spread of harmful content. However …