2 citations · 2 across the 3 of their papers we have counts for
4 papers
Understanding the Surprising Generalization Properties of Tabular Foundation Models
Nour Shaheen, Junwei Ma, Alex Labach +3
Tabular Foundation Models (TFMs) increasingly rely on in-context learning, where a model receives labelled examples at inference time and predicts labels for new inputs without upd…
Generalization Can Emerge in Tabular Foundation Models From a Single Table
Junwei Ma, Nour Shaheen, Alex Labach +4
Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a set of pairs as context and predicts labels for new inputs wit…
Towards Optimizing SQL Generation via LLM Routing
Mohammadhossein Malekpour, Nour Shaheen, Foutse Khomh +1
Text-to-SQL enables users to interact with databases through natural language, simplifying access to structured data. Although highly capable large language models (LLMs) achieve s…
C2F-CHART: A Curriculum Learning Approach to Chart Classification
Nour Shaheen, Tamer Elsharnouby, Marwan Torki
In scientific research, charts are usually the primary method for visually representing data. However, the accessibility of charts remains a significant concern. In an effort to im…