AI RESEARCH
A Hormone-inspired Emotion Layer for Transformer language models (HELT)
arXiv CS.LG
•
ArXi:2605.13858v1 Announce Type: cross Large Language Models have nstrated remarkable capabilities in generating contextually relevant and grammatically correct text. However, they fundamentally lack the ability to process and respond to emotional context in a manner analogous to human emotional cognition. Current approaches to emotion modeling in NLP systems rely primarily on discrete emotion classification or simplistic sentiment analysis, which fail to capture the continuous, multi-dimensional nature of human emotional states. In this paper, we