Displaying 31 resources
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Many recent advances in natural language generation have been fueled by training large language models on internet-scale data.
Socially Informed ML Practices
A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.
Experience Driven Content Generation
Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.
The Ordinal Nature of Affect: An Emerging Approach
Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.