2 citations · 2 across the 2 of their papers we have counts for
3 papers
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Yulu Qin, Dheeraj Varghese, Adam Dahlgren Lindström +3
Does vision-and-language (VL) training change the linguistic representations of language models in meaningful ways? Most results in the literature have shown inconsistent or margin…
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindström, Leila Methnani, Lea Krause +4
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinfo…
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström +8
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.…