3 papers
cs.CL2025
Large Language Models Understanding: an Inherent Ambiguity Barrier
Daniel N. Nissani
A lively ongoing debate is taking place, since the extraordinary emergence of Large Language Models (LLMs) with regards to their capability to understand the world and capture the…
cs.LG2024
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
Daniel N. Nissani
Contrastive Learning (CL) has been successfully applied to classification and other downstream tasks related to concrete concepts, such as objects contained in the ImageNet dataset…
cs.CV2023
Contrastive Learning and the Emergence of Attributes Associations
Daniel N. Nissani
In response to an object presentation, supervised learning schemes generally respond with a parsimonious label. Upon a similar presentation we humans respond again with a label, bu…