most citedFeRG-LLM : Feature Engineering by Reason Generation Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

Edit-As-Act: Goal-Regressive Planning for Open-Vocabulary 3D Indoor Scene Editing

Seongrae Noh, SeungWon Seo, Gyeong-Moon Park +1

Editing a 3D indoor scene from natural language is conceptually straightforward but technically challenging. Existing open-vocabulary systems often regenerate large portions of a s…

cs.CL2025★ 1 cited

FeRG-LLM : Feature Engineering by Reason Generation Large Language Models

Jeonghyun Ko, Gyeongyun Park, Donghoon Lee +1

One of the key tasks in machine learning for tabular data is feature engineering. Although it is vital for improving the performance of models, it demands considerable human expert…