Semantic Leakage Is Taking A Hefty Toll On AI Producing Harmonious Mental Health Advice

Semantic leakage occurs when a word in a prompt is later used in an LLM chat in an unsuspecting way. This can be worrisome in ...

How the brain dynamically reconfigures networks during speech processing

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

New Technique Of Selective Gradient Masking Localizes Suspected Harmful AI-Based Mental Health Knowledge And Renders It Expungable

AI can give out bad mental health advice. This can occur due to initial training. A new technique uses knowledge localization ...
IEEE

Semantic Importance-Aware Communications Using Pre-Trained Language Models

Abstract: This letter proposes a semantic importance-aware communication (SIAC) scheme using pre-trained language models (e.g., ChatGPT, BERT, etc.). Specifically, we propose a cross-layer design with ...
IEEE

Semantic Importance-Aware Communications With Semantic Correction Using Large Language Models

Abstract: Semantic communications, a promising approach for agent-human and agent-agent interactions, typically operate at a feature level, lacking true semantic understanding. This paper explores ...