Showing cs.AIShow all
2 papers · 1 filter
cs.AI2025
Tabular Feature Discovery With Reasoning Type Exploration
Sungwon Han, Sungkyu Park, Seungeon Lee
Feature engineering for tabular data remains a critical yet challenging step in machine learning. Recently, large language models (LLMs) have been used to automatically generate ne…
cs.AI2025
GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning
Woochang Sim, Hyunseok Ryu, Kyungmin Choi +2
The Abstraction and Reasoning Corpus (ARC) poses a stringent test of general AI capabilities, requiring solvers to infer abstract patterns from only a handful of examples. Despite…